Study of Location Based Energy Efficient AODV Routing Protocols In MANET

International Journal of Engineering Inventions
e-ISSN: 2278-7461, p-ISSN: 2319-6491
Volume 3, Issue 2 (September 2013) PP: 01-05
www.ijeijournal.com Page | 1
Study of Location Based Energy Efficient AODV Routing
Protocols In MANET
Sourabh Pandey, Rajender Singh Yadav
Dept of Electronics and communication Gyan Ganga College Of Technology, Jabalpur (India)
Dept of Electronics and Communication Gyan Ganga College Of Technology, Jabalpur (India)
ABSTRACT: A Mobile Ad hoc Network (MANET) is a collection of mobile hosts that move in different
directions and speeds without the need to maintain connectivity with existing network infrastructure. If two
mobile nodes are within each other’s transmission range, they can communicate with each other directly;
otherwise, the nodes in between have to forward the packets for them. In such a case, every mobile node has to
function as a router to forward the packets for others. Thus, routing is a basic operation for the MANET.Energy
is one of the important issue in Mobile Ad hoc Network (MANET). Nodes are in network are working in the
presence of limited energy then energy efficient routing is necessary for reducing energy consumption. Efficient
minimum energy routing schemes can greatly reduce energy consumption and extends the lifetime of the
networks. Now location aware DREAM protocol is reduces the energy consumption because due to the
awareness of location less number of routing packets are flooded in the network by that energy consumption are
reduces. In this paper we focus on the previous researches that had been done in field of location aware energy
efficient routing in MANET.
Key words: MANET, Location aware, Energy, Dream, Routing.
I. INTRODUCTION
Mobile Ad Hoc Networks (MANETs) has become one of the most prevalent areas of research in the
recent years because of the challenges [1] it poses to the related protocols. MANET is the new emerging
technology which enables users to communicate without any physical infrastructure regardless of their
geographical location, that’s why it is sometimes referred to as an infrastructure less network. The proliferation
of cheaper, small and more powerful devices make MANET a fastest growing network. An ad-hoc network is
self-organizing and adaptive. Device in mobile ad hoc network should be able to detect the presence of other
devices and perform necessary set up to facilitate communication and sharing of data and service. Ad hoc
networking allows the devices to maintain connections to the network as well as easily adding and removing
devices to and from the network. Due to nodal mobility, the network topology may change rapidly and
unpredictably over time. The network is decentralized, where network organization and message delivery must
be executed by the nodes themselves. Message routing is a problem in a decentralize environment where the
topology fluctuates.
While the shortest path from a source to a destination based on a given cost function in a static network
is usually the optimal route, this concept is difficult to extend in MANET. The set of applications for MANETs
is diverse, ranging from large-scale, mobile, highly dynamic networks, to small, static networks that are
constrained by power sources. Besides the legacy applications that move from traditional infrastructure
environment into the ad hoc context, a great deal of new services can and will be generated for the new
environment. MANET is more vulnerable than wired network due to mobile nodes, threats from compromised
nodes inside the network, limited physical security, dynamic topology, scalability and lack of centralized
management. Because of these vulnerabilities, MANET is more prone to malicious attacks.
II. OVERVIEW OF ROUTING PROTOCOLS
Routing protocols have been developed for ad hoc networks and have been classified into two main
categories Proactive or (table-driven) protocols, Reactive (on-demand) protocols and Hybrid routing protocol. In
a proactive routing protocol, nodes periodically exchange routing information with other nodes in an attempt to
have each node always know a current route to all destinations. In a reactive protocol, nodes exchange routing
information only when needed, with a node attempting to discover a route to some destination only when it has
a packet to send to that destination. Ad hoc network routing protocols that are hybrid have combination of table-
driven and on-demand mechanisms.
AODV is a reactive routing protocol; that do not lie on active paths neither maintain any routing
information nor participate in any periodic routing table exchanges. Further, the nodes do not have to discover
and maintain a route to another node until the two needs to communicate, unless former node is offering its

Study of Location based Energy Efficient AODV Routing Protocols in MANET
services as an intermediate forwarding station to maintain connectivity between other nodes [2]. Route
Discovery process is initiated by broadcasting a Route Request (RREQ) packet to its neighbors. Each
neighboring node either responds the RREQ by sending a Route Reply (RREP) back to the source node or
rebroadcasts the RREQ to its own neighbors after increasing the hop count field. If a node cannot respond by
RREP, it keeps track of the routing information in order to implement the reverse path setup or forward path
setup [2].
The destination sequence number specifies the freshness of a route to the destination before it can be
accepted by the source node. Eventually, a RREQ will arrive to node that possesses a fresh route to the
destination. If the intermediate node has a route entry for the desired destination, it determines whether the route
is fresh by comparing the destination sequence number in its route table entry with the destination sequence
number in the RREQ received. The intermediate node can use its recorded route to respond to the RREQ by a
RREP packet, only if, the RREQ’s sequence number for the destination is greater than the recorded by the
intermediate node.
Instead, the intermediate node rebroadcasts the RREQ packet. If a node receives more than one RREPs,
it updates its routing information and propagates the RREP only if RREP contains either a greater destination
sequence number than the previous RREP, or same destination sequence number with a smaller hop count. It
restrains all other RREPs it receives. The source node starts the data transmission as soon as it receives the first
RREP, and then later updates its routing information of better route to the destination node. Each route table
entry contains the following information:
• Destination node
• Next hop
• Number of hops
• Destination sequence number
• Active neighbors for the route
• Expiration timer for the route table entry
The route discovery process is reinitiated to establish a new route to the destination node, if the source node
moves in an active session. As the link is broken and node receives a notification, and Route Error (RERR)
control packet is being sent to all the nodes that uses this broken link for further communication. And then, the
source node restarts the discovery process.
III. ENERGY EFFICIENCY ISSUE IN MANET
Nodes within an ad hoc network generally rely on batteries (or exhaustive energy sources) for power. Since
these energy sources have a limited lifetime, power availability is one of the most important constraints for the
operation of the ad hoc network. There are different sources of power consumption in a mobile node.
Communication is one of the main sources of energy consumption.
Following are the types of energy consumption that have been identified:
 Energy consumed while sending a packet
 Energy consumed while receiving a packet
 Energy consumed while in idle mode
 Energy consumed while in sleep mode
It should be noted that the energy consumed during sending a packet is the largest source of energy
consumption of all modes
Since the rate of battery performance improvement is rather slow currently, and in the absence of
breakthroughs in this field, other measures have to be taken to achieve the goal of getting more performance out
of the currently available battery resources. Within this study, we focus our efforts on methods to reduce the
power consumed in communications between ad hoc network nodes.
IV. LOCATION WITH DREAM
DREAM [3] is a location-based routing protocol work for Ad-hoc networks. It stands for Distance
Routing Effect Algorithm for Mobility. Here in this comparison distance and mobility plays an important role,
so in our named as Distance Routing Effect Algorithm for Mobility (DREAM) protocol for ad hoc networks.
DREAM protocols have some desirable properties of providing bandwidth and energy efficiency. We can say
that with respect to existing protocols, in DREAM more bandwidth and energy (required for transmission in
each mobile node) can be used for the transmission of data messages. Most importantly:-
a. The rate of control message generation is determined and optimized according to the mobility rate of each
node individually.

b. Due to the “distance effect” the number of hops (radius from the moving node) it will be allowed to travel
in the network before being discarded will only depend on the relative (geographic) distance between the
moving node and the location tables being updated.
DREAM protocol provide loop-free path, since each data message propagates away from its source in a specific
direction. DREAM protocol is also adaptive to mobility, since the frequency with which the location
information is disseminated depends on the mobility rate.
V. LITERATURE SURVEY
There are various previous work have been done in the field of Efficient energy, for the improvement of routing
with energy efficient techniques.
In this paper [4] proposed a new protocol that consider in both areas of routing and energy. At first,
propose a more efficient routing method which minimizes the spread of unnecessary control messages.
Secondly, an energy aware method is proposed to select proper transmission power by the distance between
nodes. This technique is made to provide efficient routing by minimizing the flooding of unnecessary control
message, considering limited energy of mobile node and using appropriate transfer power to communication.
And finally, we make a new function to select next hop which considers both of distance and energy. The result
of simulation shows that performance of lifetime is improved about 12 % compared with LAR.
The proposed scheme [5] controls the transmission power of a node according to the distance between
the nodes. It also includes energy information on route request packet and selects the energy efficient path to
route data packets. LAR1 protocol uses location information of a node for setting the path from source to
destination. We take this feature of LAR1 as a key factor in designing of variable range technique. The main
aim is to design a technique of variable transmission power control to reduce overall energy consumption of the
network. RREQ in LAR1 protocol consists of source location and destination location information. We have
used this information to calculate the distance between the nodes. We also embed the energy factor of the node
in RREQ packet for selection of energy efficient path.
Pariza Kamboj and Ashok.K.Sharma,[6] gives the concept of local connectivity technique and
preventive route reconfiguration on the basis of the current status of the nodes are being proposed that attempts
to improve the performance and reliability in terms of reduced overhead, power and bandwidth requirement.
These techniques also ensure good reduction in latency in case of link breakages and prevention of the network
from splitting. The Energy Efficient Routing Multicast Protocol for MANET with Minimum Control Overhead
is compared with other shared tree multicast protocol i.e. MAODV. Comparison was made on various
parameters like Energy Consumption, Packet Delivery Ratio, Delay, and Throughput.
H. Vijayakumar , M. Ravichandran EELAR [7] utilizes location information of mobile nodes with the
goal of decreasing routing-related overhead in mobile and ad hoc networks. It uses location information of the
mobile nodes to limit the search for a new route to a smaller area of the ad hoc network which results in a
significant reduction in the number of routing messages and therefore the energy consumption of the mobile
nodes batteries is decreased significantly.
This paper [8] presents the results of simulation done in identifying suitable ad hoc routing protocol
that can be used for the target mobile grid application. The simulation comparing three ad hoc routing protocols
named DSDV, DSR and AODV. In this paper, we mainly target the performance comparison based on packet
delivery fraction and normalized routing load. In the future, extensive complex simulations could be carried out
in gain a more in-depth performance analysis of the ad hoc routing protocols. This would include delay of data
packet delivery and performance comparison on location-based ad hoc routing protocols.
A mobile ad hoc network (MANET) [9] consists of autonomous mobile nodes, each of which
communicates directly with the nodes within its wireless range or indirectly with other nodes in a network. In
order to facilitate secure and reliable communication within a MANET, an efficient routing protocol is required
to discover routes between mobile nodes. The field of MNAETs is rapidly growing due to the many advantages
and different application areas. Energy efficiency and security are some challenges faced in MANETs,
especially in designing a routing protocol. In this paper, we surveyed a number of energy efficient routing
protocols and secure routing protocols. In many cases, it is difficult to compare these protocols with each other
directly since each protocol has a different goal with different assumptions and employs mechanisms to achieve
the goal. According to the study, these protocols have different strengths and drawbacks. A protocol can hardly
satisfy all requirements. In other words, one routing protocol cannot be a solution for all energy efficient and

security issues that are faced in MANETs, but rather each protocol is designed to provide the maximum possible
requirements, according to certain required scenarios.
We have proposed a node-disjoint multipath routing protocol GMR [10] with the group mobility
model. The GMR protocol adopts intra-group routing and inter-group routing to adapt two situations: within a
group and among groups. Intra-group routing uses a proactive method, which is suitable for the intra-group
where nodes have the same mobile pattern. Intergroup routing uses a reactive method with the zoning method,
which is adaptive to the dynamic topology, and limits the region of broadcasting RREQ packets. Thus, the GMR
protocol has good scalability in large and dense MANETs.
This paper proposes a new MANET routing algorithm [11] that includes quadrant based opportunistic
routing, an intelligent energy matrix and energy status request messages with packet receipt acknowledgement
notification. The proposed algorithm uses an intelligent energy matrix that creates a look up table including the
key characteristics: reputation value, residual battery level and energy consumption. The proposed algorithm
balances the traffic uniformly across four intermediate nodes in any desired quadrant. The simulation results
presented in this paper demonstrate that due to the inclusion of the energy matrix and quadrant based routing,
the number of broadcast messages decreases, reducing data flooding, providing improved channel efficiency and
improves bandwidth utilization. Load balancing also increases the lifetime of intermediate nodes which provides
improved route stability.
In this paper, we compare the performance of different protocols for ad hoc networks [12] Multipath
routing based on fresnel zone routing (FZR), and Energy aware Node Disjoint Multipath Routing (ENDMR)
protocol. Simulation results show that, with the proposed network coding in ad hoc network multipath routing
protocol (NC-MR), packet delivery ratio, network lifetime and packet loss can be improved in most of cases. It
is an available approach to multipath routing decision.
It constructs a shared bi-directional multicast tree [13] for its routing operations rather than a mesh,
which helps in achieving more efficient multicast delivery. The algorithm uses the concept of small overlapped
zones around each node for proactive topology maintenance within the zone. Protocol depends on the location
information obtained using a distributed location service, which effectively reduces the overheads for route
searching and shared multicast tree maintenance. In this paper a new technique of local connectivity
management is being proposed that attempts to improve the performance and reliability. It employs a preventive
route reconfiguration to avoid the latency in case of link breakages and to prevent the network from splitting.
Location Prediction Based Routing Protocol [14] does not require the periodic broadcast of beacons in
the neighborhood and it assumes nodes are position-aware and the clocks across all nodes are synchronized. In
LPBR [3], each node forwards the Route-Request packet after incorporating all the relevant parameters. The
destination node collects the location update vector information of all the nodes in the network from the RREQ
packets and sends a Route-Reply packet to the source on the minimum hop. In LPBR [3] the source node uses
the route learnt through the latest LPBR-RREP packet to send the data packets. If an intermediate node could
not forward the LPBR-RREP packet, it sends a LPBR-RREP-ERROR packet to the destination informing the
failure. The destination node discards all the relevant information and the source initiates the next flooding
based route discovery after timing out for the LPBRRREP packet.
Location Aided Knowledge Extraction Routing Protocol [15] uses an on demand request-reply mechanism
in route discovery. LAKER [15] gradually discovers knowledge of topological characteristics such as
population density distribution of the network. It is based on a set of guiding routes, which includes a chain of
important positions between a pair of source and destination locations. LAKER is especially suitable for
mobility models where nodes are not uniformly distributed.
VI. CONCLUSION
Mobile Ad hoc networks are generally more susceptible to fixed or hardwired networks in term of
battery energy. In general most of the schemes lack with practical implementation. Moreover, those who have
been implemented are limited to a particular environment. Lack of the studies about these schemes is also an
issue. Apart from some of the main schemes existing literature are silent about most of the schemes discussed in
this paper. This paper has light on different energy based concepts of MANET that based on energy
consumption and location based energy efficient routing, that can help to observe the usefulness of different
research concepts. Especially when energy consumption has a major factor of concern for MANET, we need to

study a lot of issues and considerations based on energy consumption. Proposed different efficient energy
routing schemes can greatly reduce energy consumption and extends the lifetime of the networks.
In future we measure the performance of location based AODV with energy and applying energy threshold
scheme on it and compare the results with normal energy based AODV routing protocol. If the performance of
energy threshold based location aware routing protocol is better than existing energy based AODV then it
definitely reduces energy consumption and enhances network life time.
REFERENCES
[1] Prinka Jain, Vinti Parmar and Rahul Rishi, “ MANET: Vulnerabilities, Challenges, Attacks, Application”, IJCEM International
Journal of Computational Engineering & Management, Vol. 11, January 2011 ISSN (Online): 2230-7893.
[2] C. E. Perkins, S.R. Das, and E. Royer, “Ad-hoc on Demand Distance Vector (AODV)”. March 2000,
http://www.ietf.org/internal-drafts/draft-ietf-manet-aodv-05.txt.
[3] Stefano Basgani, Irnrich Chlamtac and Violet R. Syrotiuk, “A Distance Routing Effect Algorithm for Mobility (DREAM)”.
[4] 3Jangsu Lee, Seunghwan Y00, and Sungchun Kim “Energy aware Routing in Location based Ad-hoc Networks”, Proceedings of
the 4th International Symposium on Communications, Control and Signal Processing, ISCCSP 2010, Limassol, Cyprus, 3-5
March 2010.
[5] Nivedita N. Joshi and Radhika D. Joshi “ENERGY CONSERVATION IN MANET USING VARIABLE RANGE LOCATION
AIDED ROUTING PROTOCOL” International Journal of Wireless & Mobile Networks (IJWMN) Vol. 3, No. 5, October 2011.
[6] Pariza Kamboj, Ashok.K.Sharma, “Energy Efficient Multicast Routing Protocol for MANET with Minimum Control Overhead
(EEMPMO)”, in IJCT, Oct 2010.
[7] H.Vijayakumar , M.Ravichandran “Efficient Location Management of Mobile Node in Wireless Mobile Ad-hoc Network” in
Proceedings of the National Conference on Innovations in Emerging Technology-2011.
[8] Azizol Abdullah, Norlida Ramly, Abdullah Muhammed, Mohd Noor Derahman, “Performance Comparison Study of Routing
Protocols for Mobile Grid Environment”, in IJCSNS, February 2008.
[9] Shwaita Kodesia and Asst. Prof. Prem Narayan Arya, “A REVIEW OF ENERGY EFFICIENT ROUTING PROTOCOLS FOR
MOBILE AD-HOC NETWORK”, in JGRCS, May 2012.
[10] Yun Ge, Guojun Wang, and Jie Wu, “Node-Disjoint Multipath Routing with Group Mobility in MANETs”, IEEE 2010.
[11] Farukh Mahmudur Rahman, Mark A Gregory, “Quadrant Based Intelligent Energy Controlled Multicast Algorithm for Mobile
Ad Hoc Networks”, ICACT2011.
[12] Hua Chen, Hui Xu, Ting Zhang, Baolin Sun, “Performance of Network Coding in Ad Hoc Network Multipath Routing Protocol”,
IEEE 2012.
[13] Pariza Kamboj, A.K.Sharma, “Scalable Energy Efficient Location Aware Multicast Protocol for MANET (SEELAMP)”,
JOURNAL OF COMPUTING, May 2010.
[14] Natarajan Meghanathan, “LPBR: Location Prediction Based Routing Protocol for Mobile Ad hoc Networks, in proceedings of
IEEE Communications Society, GLOBECOM, 2008.
[15] Jian Li and Prasant Mohapatra, LAKER: Location Aided Knowledge Extraction Routing for Mobile Ad Hoc Networks
Department of Computer Science University of California, CA 95616, 2007.

Study of Location Based Energy Efficient AODV Routing Protocols In MANET

More Related Content

What's hot (16)

Viewers also liked (20)

Similar to Study of Location Based Energy Efficient AODV Routing Protocols In MANET (20)

More from International Journal of Engineering Inventions www.ijeijournal.com (20)

Recently uploaded (20)

Study of Location Based Energy Efficient AODV Routing Protocols In MANET