IRJET - A Review on Congestion Control Methods in Mobile Adhoc Networks
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This document reviews different techniques for congestion control in mobile ad hoc networks (MANETs). It begins with an introduction to MANETs and discusses how congestion can occur and degrade network performance. The literature survey section then summarizes several recent studies that have proposed various congestion control methods. These include adaptive data rate and control of hello packets, cross-layer approaches, hop-by-hop congestion control algorithms, avoiding congestion by monitoring bandwidth capacity, and fuzzy logic based congestion control. The document concludes that congestion is a major issue in MANETs and different control mechanisms aim to improve throughput, delivery ratio and reduce packet loss and delay.
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1303
A REVIEW ON CONGESTION CONTROL METHODS IN MOBILE
ADHOC NETWORKS
Remya A1, Sreeleja N Unnithan2
1P.G Scholar, Dept. of ECE, NSS College of Engineering, Palakkad, Kerala, India
2Associate Professor, Dept.of ECE NSS College of Engineering, Palakkad, Kerala, India
----------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - MANET (Mobile Ad hoc Network) is a type of ad
hoc network, which consists of mobile devices as the nodes
in the network. There will not be any centralized
infrastructure. It has many features like multihop
communication, dynamic topology. But it has limited
resources and limited security. The limitations in resources
may cause congestion in the network. Congestion may occur
in any intermediate nodes and results in high packet loss,
high delay which lead to performance degradation of the
network. So congestion control is one of the importance
tasks in the MANET. This paper presents a review of
different techniques used for the congestion control in the
MANET.
Key Words: MANET, Multi-hop, Topology change,
Congestion Control, Packet loss
1. INTRODUCTION
MANET’s were earlier named as packet radio. MANET is a
collection of mobile devices that are connected over
various wireless links. It is a infrastructure less networks
of mobile devices connected without wires. Each device in
a MANET is free to move in any direction, and will
therefore change its links to other devices frequently. A
node in the network can communicates directly with other
nodes within its wireless communication range. If the
destination node is beyond the communication range of
the source node, then the intermediate nodes act as
routers to forward the packets from the source to
destination. Each node in the MANET act as both router
and host. That is it is autonomous in behaviour. MANET
has many features like dynamic topology, self-
configurability, flexibility and multi-hop communications.
Due to these features they are used in various kinds of
applications like military applications, rescue operations,
vehicular networks etc. But MANET has limited resources
and security.
One of the major problems in the MANET is the
congestion. Due to the limited availability of the resources
and the nature of the network the congestion become the
common issue in the MANET. Congestion occurs in some
part of the network when the traffic is too heavy. This
problem arises when a router can receive packets on
multiple input ports at a higher rate than that it can
forward. Due to shared wireless channel and dynamic
topology, packet transmissions suffer from interference
and fading. Congestion causes packet loss, bandwidth
degradation, and time and energy wastage. So congestion
should be controlled.
2. LITERATURE SURVEY
In this section different method for congestion control in
MANET is discussing.
In 2019 Navneet Kaur and Rakesh Singhai proposed a
fuzzy controlled data rate based and hello interval based
congestion control method [1]. The data rate and control
packets such as Hello packet interval is selected according
to the channel conditions depending on the node mobility
and energy consumed by the nodes in transmission.
Depending on the transmission power and current speed of
the nodes, the method enables nodes to adjust their data
rate and frequency of their Hello messages. This improved
protocol detects and reacts to the congestion parts of the
network. This will reduce the congestion and improve the
throughput. The proposed method enhances the
performance of mobile network in terms of parameter
throughput, end to end delay, jitter, queue length.
In the same year a novel cross layer approach called
congestion adaptive and delay sensitive multi-rate (CADM)
routing protocol in MANET [2]. CADM protocol find the
route through less congested nodes and congestion is
actively handled when it occurs. This method consists of
rate adaptation and congestion aware optimization to
improve the performance in terms of throughput, packet
delivery, and latency. CADM finds a less congested, high
throughput route based on QoS metrics data rate, packet
forwarding delay and buffer queuing delay.
JiashuaiWang et al. proposed a contention-based hop-by-
hop bidirectional congestion control algorithm (HBCC) in
2019 [3]. In this method the congestion is detected using
queue length as a parameter. By determining the queue
length of current node and next hop node the congestion
conditions are divided into four categories. The algorithm
adaptively adjusts the contention window of the current
node when at least one of the two nodes is congested and
also changes the priority of the current node to access the
channel. The buffer queue length of the congested node is
reduced in this way.
A method called Bandwidth Aware Routing Strategy
(BARS) is introduced by Nousheen Akhtar et al. in 2019 to
avoid congestion in MANET [4]. In this method the](https://image.slidesharecdn.com/irjet-v7i2272-201118041156/85/IRJET-A-Review-on-Congestion-Control-Methods-in-Mobile-Adhoc-Networks-1-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1304
congestion is avoided by monitoring the residual
bandwidth capacity in the network paths and the available
space in the queue. The calculation of these parameters are
calculated before the transmission of messages. According
to the availability of the bandwidth and queue, method will
adjust the data rate.
In 2018 Mohsen Yaghoubi Suraki et al. proposed a Fuzzy
Cross-Layer congestion Control (FCLCC) [5]. In this paper
to avoid the congestion problem a cross-layer approach is
proposed in transport, network, and MAC layers in which
Fuzzy Logic System is used in intermediate and destination
nodes. DSR routing algorithm is used in the network layer
and messages that are exchanged among nodes are put into
the ACK packets. Detection, notification, and adjustment of
the transmission rate are the three features of this method.
From the buffer conditions and the number of times that
the buffer becomes full, the congestion is detected. In
notification step, the congestion level is determined by the
fuzzy controller and informed to the upstream nodes.
Finally in the transmission rate step, according to the
congestion level transmission rate is adjusted.
Saurabh Sharma et al. in 2018 proposed a Mobile Random
Early Detection method to control the congestion [6]. The
method is based on hybrid approach that uses clustering
and queuing techniques. In general cluster head transfers
the data and follows a queuing method based on RED
(Random early Detection). The mobile environment will
make it Mobile RED (MRED). It mainly depends on mobility
of nodes and mobile environment which leads to
unpredictable queue size.
In 2018 Yefa Mai et al .propose An Effective Multiple Paths
Congestion Control AODV (CC-AODV) [7], which lower the
performance degradation caused by the packets congestion
while the data is delivered using AODV. The method uses a
congestion counter label to determine the path for the data.
This can be done by checking how stressed the current
node in a table. The congestion counter adds one to the
counter, once the RREP package is generated and
transmitted. The keystone to achieve multiple routing
paths is the implementation of the congestion counter in
the routing table. CC-AODV will outperform AODV in
throughput, packet delivery ratio and packet loss.
A Combined TCP-friendly Rate control (TFRC) with WFQ
Approach is proposed by Y. Narasimha Reddy et al. in the
year 2018 [8]. In this paper an integrated TFRC with
weighted fair queue (WFQ) approach is introduced to
overcome the congestion in the network and to minimize
the RTTs. The WFQ mechanism will manage the incoming
heavy traffic. This is done to ease the data rate control for
smooth data flow to improve throughput. This proposed
method is mainly based on buffer queue management. It
reduces router congestion through proper scheduling of
data packets based on packet weights.
Astha Mishra et al. proposed a methodology in 2018 to
overcome the congestion and interference in MANET [9].
The congestion and interference is avoided using the
multichannel energy based routing approach. This method
uses the multichannel-based communication that is single
or multiple senders will use more than one channel to send
the data. While the multiple senders simultaneously
demands the channel from the intermediate nodes, the
interference, collision and delay of the network can be
minimized by the multichannel wireless mobile ad hoc
network.
In 2018 Y. Narasimha Reddy et al. proposes a method for
data rate and congestion control [10]. Propose method is a
routing delay prediction based on packet loss and Explicit
Delay Acknowledgement (EDA) mechanism. The packet
rate is controlled through determining the buffer length of
each intermediate node in the route to destination. The
destination node that receives each data packet, transmit
an EDA message with updated buffer length during the
current traverse. The method will efficiently control data
rate for streaming application to minimize the loss of
packets and improve the throughput. This mechanism
deals with inconvenience of TCP congestion over MANET.
A. Amuthan et al. [11] in 2018 proposed a Dynamic multi-
stage Tandem Queue modeling-based Congestion Adaptive
Routing (DTQCAR). The method is based on the
estimations of average threshold level of congestion. It is
an effective and efficient congestion control method,
because it considers current level of congestion level for
dynamic packet routing depending on the amount of
packets need to be forwarded instantaneously. It has a
warning module that sends alert message to interacting
neighbouring node for dynamic adjusting of packets that
are forwarding.
In 2017 R.Vadivel et al.[12] proposed an adaptive reliable
and congestion control routing protocol to avoid
congestion and route errors using bypass route selection in
MANETs. On the basis of utilization and capacity of link and
paths the congestion is detected. Here multiple paths are
constructed and among that shortest path is selected for
data transmission. When a node detects congestion on
outgoing link, it will calculate the multiple paths to the
destination. Then some portion of the traffic to the node is
shifted to alternate path. The distribution of traffic over
alternate path is done by considering the path availability
threshold and using a traffic splitting function. The main
objective of this method is to minimize the utilization to a
more acceptable level by shifting a portion of the traffic to
the alternative paths and this part of traffic. Whenever a
local link congestion is detected or receives an Explicit
Congestion Indication (ECI) bit from a neighbour, then
node calculates a set of alternative paths and distributes
the bypass traffic over these paths. If one node cannot
resolve the congestion, then it signals its neighbors using
the congestion indication bit.](https://image.slidesharecdn.com/irjet-v7i2272-201118041156/85/IRJET-A-Review-on-Congestion-Control-Methods-in-Mobile-Adhoc-Networks-2-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1305
During the same year Varun Kumar Sharma et al. [13]
proposed an effective cross-layer adaptive transmission
method to handle the congestion in mobile wireless ad-hoc
networks. The method mainly focuses on minimizing the
effects of congestion on the network performance. It based
on the estimation of congestion intensity experienced by a
node. The proposed method successfully classifies packet
losses in the network to prevent unnecessary adaptations
of transmission rates. The method also identifies the
contribution of each flow in congestion intensity and
selectively makes significant congestion contributors to
adapt their transmission rates.
Sujata V. Mallapur et al. [14] I 2017 proposed an efficient
routing technique called the multipath load balancing
technique for congestion control (MLBCC) in MANETs. It
efficiently balance the load among the multiple path by
reducing congestion. MLBCC introduces two mechanisms
called congestion control mechanism and load balancing
mechanism during the transmission of data. Arrival rate
and outgoing rate in a particular interval are used to detect
congestion in the congestion control mechanism. By using
the link cost and the path cost the load balancing
mechanism selects a gateway node that efficiently
distribute the load by selecting the most desirable paths.
The selection of gateway node is done such that it
possesses good link status while minimizing the total path
cost. When candidate node detects a load, the packets are
immediately fragmented and the load is distributed
through the selected gateway node. The gateway node
efficiently distributes the traffic by selecting three useful
paths. Here a node availability degree standard deviation
parameter is introduced for an efficient flow of
distribution.
In 2017 Nousheen Akhtar et al. [15] proposed AODV based
mechanism to avoid congestion before happening. The
available bandwidth is adjusted according to the estimated
current bandwidth consumption. Available bandwidth is
predicted using the HELLO messages. A feedback is
provided to the source node about the current network
state. According to this current network state the source
node adjusts its data rate.
3. CONCLUSION
This paper gives an overview of different methods used
for the congestion control in MANET. In ad-hoc networks
congestion is the main issue. In MANET the nodes are
moving so that there will be topology changes, these types
of features results in the congestion of the network. The
congestion mainly occurs when the packets arriving to the
network exceeds the capacity of the network. Due to
congestion there will be performance degradation of the
network. Different types of mechanisms are introduced to
control the congestion. Each mechanism improves the
overall performance of the network, enhances the
throughput, packet delivery ratio and decreases the packet
loss and delay.
REFERENCES
1) Navneet Kaur and Rakesh Singhai “MINIMIZING
CONGESTION IN MOBILE AD HOC NETWORK
USING ADAPTIVE CONTROL PACKET
FREQUENCY AND DATA RATE” in 2019 Springer
Computing, Communication and Signal Processing
2) Mahadev A. Gawas , Lucy J. Gudino and K. R
Anupama “CONGESTION-ADAPTIVE AND DELAY-
SENSITIVE MULTIRATE ROUTING PROTOCOL IN
MANETS: A CROSS-LAYER APPROACH” in 2019
Journal of Computer Networks and
Communications.
3) JiashuaiWang, Xiaoping Yang, Ying Liu and
Zhihong Qian “A CONTENTION-BASED HOP-BY-
HOP BIDIRECTIONAL CONGESTION CONTROL
ALGORITHM FOR AD-HOC NETWORKS” in 2019
journel of sensors.
4) Nousheen Akhtar, Muazzam A. Khan, Ata Ullah ,
and Muhammad Younus Javed4 “CONGESTION
AVOIDANCE FOR SMART DEVICES BY CACHING
INFORMATION IN MANETS AND IOT” in June
2019 IEEE Special Section On Smart Caching,
Communications, Computing And Cybersecurity
For Information-centric Internet Of Things
volume 7 .
5) Mohsen Yaghoubi Suraki, Abolfazl Toroghi
Haghighat, Majid Gholipour “ FCLCC: FUZZY
CROSS-LAYER CONGESTION CONTROL IN
MOBILE AD HOC NETWORKS” in January 2018
IJCSNS International Journal of Computer Science
and Network Security, VOL.18
6) Saurabh Sharma, Dipti Jindal, Rashi Agarwal
“ANALYSING MOBILE RANDOM EARLY
DETECTION FOR CONGESTION CONTROL IN
MOBILE AD-HOC NETWORK” in june 2018
International Journal of Electrical and Computer
Engineering (IJECE) Vol. 8.
7) Yefa Mai, Fernando Molina Rodriguez and Dr. Nan
Wang “CC-AODV : AN EFFICIENT MULTIPLE
PATHS CONGESTION CONTROL AODV” in 2018
IEEE Annual Computing and communication
workshop and conference.
8) Y. Narasimha Reddy, P V S. Srinivas “ A
COMBINED TCP-FRIENDLY RATE CONTROL
WITH WFQ APPROACH FOR CONGESTION
CONTROL FOR MANET” in June 2018 I. J.
Computer Network and Information Security.
9) Astha Mishra and Ashish Singh Baghel
“INTERFERENCE AND CONGESTION CONTROL
USING MULTICHANNEL ENERGY-BASED
ROUTING IN MANET” in 2018 Springer](https://image.slidesharecdn.com/irjet-v7i2272-201118041156/85/IRJET-A-Review-on-Congestion-Control-Methods-in-Mobile-Adhoc-Networks-3-320.jpg)
IRJET - A Review on Congestion Control Methods in Mobile Adhoc Networks
- 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1303 A REVIEW ON CONGESTION CONTROL METHODS IN MOBILE ADHOC NETWORKS Remya A1, Sreeleja N Unnithan2 1P.G Scholar, Dept. of ECE, NSS College of Engineering, Palakkad, Kerala, India 2Associate Professor, Dept.of ECE NSS College of Engineering, Palakkad, Kerala, India ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - MANET (Mobile Ad hoc Network) is a type of ad hoc network, which consists of mobile devices as the nodes in the network. There will not be any centralized infrastructure. It has many features like multihop communication, dynamic topology. But it has limited resources and limited security. The limitations in resources may cause congestion in the network. Congestion may occur in any intermediate nodes and results in high packet loss, high delay which lead to performance degradation of the network. So congestion control is one of the importance tasks in the MANET. This paper presents a review of different techniques used for the congestion control in the MANET. Key Words: MANET, Multi-hop, Topology change, Congestion Control, Packet loss 1. INTRODUCTION MANET’s were earlier named as packet radio. MANET is a collection of mobile devices that are connected over various wireless links. It is a infrastructure less networks of mobile devices connected without wires. Each device in a MANET is free to move in any direction, and will therefore change its links to other devices frequently. A node in the network can communicates directly with other nodes within its wireless communication range. If the destination node is beyond the communication range of the source node, then the intermediate nodes act as routers to forward the packets from the source to destination. Each node in the MANET act as both router and host. That is it is autonomous in behaviour. MANET has many features like dynamic topology, self- configurability, flexibility and multi-hop communications. Due to these features they are used in various kinds of applications like military applications, rescue operations, vehicular networks etc. But MANET has limited resources and security. One of the major problems in the MANET is the congestion. Due to the limited availability of the resources and the nature of the network the congestion become the common issue in the MANET. Congestion occurs in some part of the network when the traffic is too heavy. This problem arises when a router can receive packets on multiple input ports at a higher rate than that it can forward. Due to shared wireless channel and dynamic topology, packet transmissions suffer from interference and fading. Congestion causes packet loss, bandwidth degradation, and time and energy wastage. So congestion should be controlled. 2. LITERATURE SURVEY In this section different method for congestion control in MANET is discussing. In 2019 Navneet Kaur and Rakesh Singhai proposed a fuzzy controlled data rate based and hello interval based congestion control method [1]. The data rate and control packets such as Hello packet interval is selected according to the channel conditions depending on the node mobility and energy consumed by the nodes in transmission. Depending on the transmission power and current speed of the nodes, the method enables nodes to adjust their data rate and frequency of their Hello messages. This improved protocol detects and reacts to the congestion parts of the network. This will reduce the congestion and improve the throughput. The proposed method enhances the performance of mobile network in terms of parameter throughput, end to end delay, jitter, queue length. In the same year a novel cross layer approach called congestion adaptive and delay sensitive multi-rate (CADM) routing protocol in MANET [2]. CADM protocol find the route through less congested nodes and congestion is actively handled when it occurs. This method consists of rate adaptation and congestion aware optimization to improve the performance in terms of throughput, packet delivery, and latency. CADM finds a less congested, high throughput route based on QoS metrics data rate, packet forwarding delay and buffer queuing delay. JiashuaiWang et al. proposed a contention-based hop-by- hop bidirectional congestion control algorithm (HBCC) in 2019 [3]. In this method the congestion is detected using queue length as a parameter. By determining the queue length of current node and next hop node the congestion conditions are divided into four categories. The algorithm adaptively adjusts the contention window of the current node when at least one of the two nodes is congested and also changes the priority of the current node to access the channel. The buffer queue length of the congested node is reduced in this way. A method called Bandwidth Aware Routing Strategy (BARS) is introduced by Nousheen Akhtar et al. in 2019 to avoid congestion in MANET [4]. In this method the
- 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1304 congestion is avoided by monitoring the residual bandwidth capacity in the network paths and the available space in the queue. The calculation of these parameters are calculated before the transmission of messages. According to the availability of the bandwidth and queue, method will adjust the data rate. In 2018 Mohsen Yaghoubi Suraki et al. proposed a Fuzzy Cross-Layer congestion Control (FCLCC) [5]. In this paper to avoid the congestion problem a cross-layer approach is proposed in transport, network, and MAC layers in which Fuzzy Logic System is used in intermediate and destination nodes. DSR routing algorithm is used in the network layer and messages that are exchanged among nodes are put into the ACK packets. Detection, notification, and adjustment of the transmission rate are the three features of this method. From the buffer conditions and the number of times that the buffer becomes full, the congestion is detected. In notification step, the congestion level is determined by the fuzzy controller and informed to the upstream nodes. Finally in the transmission rate step, according to the congestion level transmission rate is adjusted. Saurabh Sharma et al. in 2018 proposed a Mobile Random Early Detection method to control the congestion [6]. The method is based on hybrid approach that uses clustering and queuing techniques. In general cluster head transfers the data and follows a queuing method based on RED (Random early Detection). The mobile environment will make it Mobile RED (MRED). It mainly depends on mobility of nodes and mobile environment which leads to unpredictable queue size. In 2018 Yefa Mai et al .propose An Effective Multiple Paths Congestion Control AODV (CC-AODV) [7], which lower the performance degradation caused by the packets congestion while the data is delivered using AODV. The method uses a congestion counter label to determine the path for the data. This can be done by checking how stressed the current node in a table. The congestion counter adds one to the counter, once the RREP package is generated and transmitted. The keystone to achieve multiple routing paths is the implementation of the congestion counter in the routing table. CC-AODV will outperform AODV in throughput, packet delivery ratio and packet loss. A Combined TCP-friendly Rate control (TFRC) with WFQ Approach is proposed by Y. Narasimha Reddy et al. in the year 2018 [8]. In this paper an integrated TFRC with weighted fair queue (WFQ) approach is introduced to overcome the congestion in the network and to minimize the RTTs. The WFQ mechanism will manage the incoming heavy traffic. This is done to ease the data rate control for smooth data flow to improve throughput. This proposed method is mainly based on buffer queue management. It reduces router congestion through proper scheduling of data packets based on packet weights. Astha Mishra et al. proposed a methodology in 2018 to overcome the congestion and interference in MANET [9]. The congestion and interference is avoided using the multichannel energy based routing approach. This method uses the multichannel-based communication that is single or multiple senders will use more than one channel to send the data. While the multiple senders simultaneously demands the channel from the intermediate nodes, the interference, collision and delay of the network can be minimized by the multichannel wireless mobile ad hoc network. In 2018 Y. Narasimha Reddy et al. proposes a method for data rate and congestion control [10]. Propose method is a routing delay prediction based on packet loss and Explicit Delay Acknowledgement (EDA) mechanism. The packet rate is controlled through determining the buffer length of each intermediate node in the route to destination. The destination node that receives each data packet, transmit an EDA message with updated buffer length during the current traverse. The method will efficiently control data rate for streaming application to minimize the loss of packets and improve the throughput. This mechanism deals with inconvenience of TCP congestion over MANET. A. Amuthan et al. [11] in 2018 proposed a Dynamic multi- stage Tandem Queue modeling-based Congestion Adaptive Routing (DTQCAR). The method is based on the estimations of average threshold level of congestion. It is an effective and efficient congestion control method, because it considers current level of congestion level for dynamic packet routing depending on the amount of packets need to be forwarded instantaneously. It has a warning module that sends alert message to interacting neighbouring node for dynamic adjusting of packets that are forwarding. In 2017 R.Vadivel et al.[12] proposed an adaptive reliable and congestion control routing protocol to avoid congestion and route errors using bypass route selection in MANETs. On the basis of utilization and capacity of link and paths the congestion is detected. Here multiple paths are constructed and among that shortest path is selected for data transmission. When a node detects congestion on outgoing link, it will calculate the multiple paths to the destination. Then some portion of the traffic to the node is shifted to alternate path. The distribution of traffic over alternate path is done by considering the path availability threshold and using a traffic splitting function. The main objective of this method is to minimize the utilization to a more acceptable level by shifting a portion of the traffic to the alternative paths and this part of traffic. Whenever a local link congestion is detected or receives an Explicit Congestion Indication (ECI) bit from a neighbour, then node calculates a set of alternative paths and distributes the bypass traffic over these paths. If one node cannot resolve the congestion, then it signals its neighbors using the congestion indication bit.
- 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1305 During the same year Varun Kumar Sharma et al. [13] proposed an effective cross-layer adaptive transmission method to handle the congestion in mobile wireless ad-hoc networks. The method mainly focuses on minimizing the effects of congestion on the network performance. It based on the estimation of congestion intensity experienced by a node. The proposed method successfully classifies packet losses in the network to prevent unnecessary adaptations of transmission rates. The method also identifies the contribution of each flow in congestion intensity and selectively makes significant congestion contributors to adapt their transmission rates. Sujata V. Mallapur et al. [14] I 2017 proposed an efficient routing technique called the multipath load balancing technique for congestion control (MLBCC) in MANETs. It efficiently balance the load among the multiple path by reducing congestion. MLBCC introduces two mechanisms called congestion control mechanism and load balancing mechanism during the transmission of data. Arrival rate and outgoing rate in a particular interval are used to detect congestion in the congestion control mechanism. By using the link cost and the path cost the load balancing mechanism selects a gateway node that efficiently distribute the load by selecting the most desirable paths. The selection of gateway node is done such that it possesses good link status while minimizing the total path cost. When candidate node detects a load, the packets are immediately fragmented and the load is distributed through the selected gateway node. The gateway node efficiently distributes the traffic by selecting three useful paths. Here a node availability degree standard deviation parameter is introduced for an efficient flow of distribution. In 2017 Nousheen Akhtar et al. [15] proposed AODV based mechanism to avoid congestion before happening. The available bandwidth is adjusted according to the estimated current bandwidth consumption. Available bandwidth is predicted using the HELLO messages. A feedback is provided to the source node about the current network state. According to this current network state the source node adjusts its data rate. 3. CONCLUSION This paper gives an overview of different methods used for the congestion control in MANET. In ad-hoc networks congestion is the main issue. In MANET the nodes are moving so that there will be topology changes, these types of features results in the congestion of the network. The congestion mainly occurs when the packets arriving to the network exceeds the capacity of the network. Due to congestion there will be performance degradation of the network. Different types of mechanisms are introduced to control the congestion. Each mechanism improves the overall performance of the network, enhances the throughput, packet delivery ratio and decreases the packet loss and delay. REFERENCES 1) Navneet Kaur and Rakesh Singhai “MINIMIZING CONGESTION IN MOBILE AD HOC NETWORK USING ADAPTIVE CONTROL PACKET FREQUENCY AND DATA RATE” in 2019 Springer Computing, Communication and Signal Processing 2) Mahadev A. Gawas , Lucy J. Gudino and K. R Anupama “CONGESTION-ADAPTIVE AND DELAY- SENSITIVE MULTIRATE ROUTING PROTOCOL IN MANETS: A CROSS-LAYER APPROACH” in 2019 Journal of Computer Networks and Communications. 3) JiashuaiWang, Xiaoping Yang, Ying Liu and Zhihong Qian “A CONTENTION-BASED HOP-BY- HOP BIDIRECTIONAL CONGESTION CONTROL ALGORITHM FOR AD-HOC NETWORKS” in 2019 journel of sensors. 4) Nousheen Akhtar, Muazzam A. Khan, Ata Ullah , and Muhammad Younus Javed4 “CONGESTION AVOIDANCE FOR SMART DEVICES BY CACHING INFORMATION IN MANETS AND IOT” in June 2019 IEEE Special Section On Smart Caching, Communications, Computing And Cybersecurity For Information-centric Internet Of Things volume 7 . 5) Mohsen Yaghoubi Suraki, Abolfazl Toroghi Haghighat, Majid Gholipour “ FCLCC: FUZZY CROSS-LAYER CONGESTION CONTROL IN MOBILE AD HOC NETWORKS” in January 2018 IJCSNS International Journal of Computer Science and Network Security, VOL.18 6) Saurabh Sharma, Dipti Jindal, Rashi Agarwal “ANALYSING MOBILE RANDOM EARLY DETECTION FOR CONGESTION CONTROL IN MOBILE AD-HOC NETWORK” in june 2018 International Journal of Electrical and Computer Engineering (IJECE) Vol. 8. 7) Yefa Mai, Fernando Molina Rodriguez and Dr. Nan Wang “CC-AODV : AN EFFICIENT MULTIPLE PATHS CONGESTION CONTROL AODV” in 2018 IEEE Annual Computing and communication workshop and conference. 8) Y. Narasimha Reddy, P V S. Srinivas “ A COMBINED TCP-FRIENDLY RATE CONTROL WITH WFQ APPROACH FOR CONGESTION CONTROL FOR MANET” in June 2018 I. J. Computer Network and Information Security. 9) Astha Mishra and Ashish Singh Baghel “INTERFERENCE AND CONGESTION CONTROL USING MULTICHANNEL ENERGY-BASED ROUTING IN MANET” in 2018 Springer
- 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1306 Proceedings of International Conference on Recent Advancement on Computer and Communication. 10) Y. Narasimha Reddy and P V S. Srinivas “ A ROUTING DELAY PREDICATION BASED ON PACKET LOSS AND EXPLICIT DELAY ACKNOWLEDGEMENT FOR CONGESTION CONTROL IN MANET” in Dec 2018 International Journal of Communication Networks and Information Security (IJCNIS) vol.10. 11) A. Amuthan , N. Sreenath, P. Boobalan, K. Muthuraj “DYNAMIC MULTI-STAGE TANDEM QUEUE MODELING-BASED CONGESTION ADAPTIVE ROUTING FOR MANET” in 2018 Elsevier 12) R. Vadivel, V. Murali Bhaskaran “ADAPTIVE RELIABLE AND CONGESTION CONTROL ROUTING PROTOCOL FOR MANET” in 2017 Springer Science. 13) Varun Kumar Sharma and Mahesh Kumar “ADAPTIVE CONGESTION CONTROL SCHEME IN MOBILE AD-HOC NETWORKS” in 2017 Springer Science. 14) Sujata V. Mallapur, Siddarama R. Patil, Jayashree V. Agarkhed “LOAD BALANCING TECHNIQUE FOR CONGESTION CONTROL MULTIPATH ROUTING PROTOCOL IN MANETS” in 2017 Springer Science. 15) Nousheen Akhtar, Muazzam A.Khan Khattak, Ata Ullah,Muhammad Younus Javed “EFFICIENT ROUTING STRATEGY FOR CONGESTION AVOIDANCE IN MANETS” in 2017 International Conference on Frontiers of Information Technology. BIOGRAPHIES Remya A, Currently pursuing M.Tech in Communication Engineering from NSS college of engineering, Palakkad, kerala, India. Sreeleja N Unnithan, Associate Professor, ECE Dept, NSS college of engineering, Palakkad, kerala, India