EFFICIENT REAL-TIME VIDEO TRANSMISSION IN WIRELESS MESH NETWORK

International Journal of Research in Computer Science
eISSN 2249-8265 Volume 2 Issue 1 (2011) pp. 11-19
© White Globe Publications
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EFFICIENT REAL-TIME VIDEO TRANSMISSION IN
WIRELESS MESH NETWORK
Rajanikanth Aluvalu1, NitinBirari2, Supriya Byreddy3
*Dept of Computer Engineering, School of Engineering, R.K.University

Abstract: We are experiencing rapid improvement in service access at a reasonable cost. WMNs consist of
video transmission and picture quality. The mesh routers and mesh clients[3].
technologies are supporting us with real-time video In this architecture, while static mesh routers form
transmissions such as video conferences and webinars. the wireless backbone, mesh clients access the network
Soon reliable, simple, low cost real-time video will through mesh routers as well as directly meshing with
become essential, providing its extensive support to each other.
mobiles; PDA’s etc. These enhancements are going to
affect the consumer behaviour, business culture. Video Different from traditional wireless networks, WMN
transmission includes transmitting packets through is dynamically self-organized and self configured. In
Wireless Mesh Network (WMN), which turned out to other words, the nodes in the mesh network
be a challenging scenario for real-time video services. automatically establish and maintain network
Due to the existing nature of wireless networks include connectivity. This feature brings many advantages for
the presence of unpredictable delays and high packet the end-users, such as low up-front cost, easy network
error rates due to the error-prone nature of the maintenance, robustness, and reliable service
wireless links. In this paper, we will propose a model coverage. In addition, with the use of advanced radio
which provides high capacity data transfer with technologies, e.g., multiple radio interfaces and smart
reduced delay. We have simulated and achieved antennas, network capacity in WMNs is increased
results with higher through put. significantly. Moreover, the gateway and bridge
functionalities in mesh routers enable the integration of
Keywords: Wireless mesh network, Real time video, wireless mesh networks with various existing wireless
Contention window, CSMA, IEEE 802.11 networks, such as wireless sensor networks, wireless-
fidelity (Wi-Fi), and WiMAX[11]. Consequently,
I. INTRODUCTION through an integrated wireless mesh network, the end-
users can take the advantage of multiple wireless
A. Wireless Mesh Network networks.
If we have n nodes in a network, where the term 1. Benefits and Characteristics of Wireless Mesh
“node” refers to a communications device that can Networks
transport data from one of its interfaces to another, In WMNs, the wireless mesh routers provide
then the ability of each node to communicate with redundant paths between the sender and the receiver of
every other node in the network represents a mesh the wireless connection. This eliminates single point
network topology[1]. We can view the structure of a failures and potential bottleneck links, resulting in
mesh network by simplifying the number of nodes in significantly increased communications reliability.
the network from a value of n, which is what Network robustness against potential problems, e.g.,
mathematicians like to work with, to an easy-to- node failures, and path failures due to RF interferences
visualize number, such as three, four, or five. or obstacles, can also be ensured by the existence of
Wireless Mesh Network (WMN) is a promising multiple possible alternative routes[3]. Therefore, by
wireless technology for several emerging and utilizing WMN technology, the network can operate
commercially interesting applications, e.g., broadband reliably over an extended period of time, even in the
home networking, community and neighborhood presence of a network element failure or network
networks, coordinated network management, congestion. Recently, the main effort to provide
intelligent transportation systems. It is gaining wireless connection to the end-users is through the
significant attention as a possible way for Internet deployment of 802.11 based Wi-Fi Access Points
service providers (ISPs) and other end-users to (APs). To assure almost full coverage in a metro scale
establish robust and reliable wireless broadband area, it is required to deploy a large number of access
points because of the limited transmission range of the

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12 Rajanikanth Aluvalu, NitinBirari, Supriya Byreddy

APs[3]. The drawback of this solution is highly 2. Classification of multihop wireless networks:
expensive infrastructure costs, since an expensive
cabled connection to the wired Internet backbone is
necessary for each AP. On the other hand, constructing
a wireless mesh network decreases the infrastructure
costs, since the mesh network requires only a few
points of connection to the wired network. Hence,
WMNs can enable rapid implementation and possible
modifications of the network at a reasonable cost,
which is extremely important in today’s competitive
market place. Currently, the data rates of wireless
local-area networks (WLANs) have been increased,
e.g., 54 Mbps for 802.11a and 802.11g, by utilizing
spectrally efficient modulation schemes [5]. Although
Fig. 2: Classification of multihop wireless networks
the data rates of WLANs are increasing, for a specific
transmission power, the coverage and connectivity of
Fig. 2 shows the classification of multihop wireless
WLANs decrease as the end-user becomes further
networks; these constitute the category of wireless
from the access point. Multi-hop and multi-channel
networks that primarily use multihop wireless relaying.
communications among mesh routers and long
The major categories in the multihop wireless
transmission range of WiMAX towers deployed in
networks are the ad hoc wireless networks, WMNs,
WMNs can enable long-distance communication
wireless sensor networks, and hybrid wireless
without any significant performance degradation.
networks. This book mainly focuses on WMNs. Ad
Wireless mesh networks are dynamically self-
hoc wireless networks [2] mainly lack in infrastructure
organized and self-configured. In other words, the
having highly dynamic topology. Wireless sensor
mesh clients and routers automatically establish and
networks, formed by tiny sensor nodes that can gather
maintain network connectivity, which enables
physical parameters and transmit to a central
seamless multi-hop interconnection service [3]. For
monitoring node, can use either single-hop wireless
example, when new nodes are added into the network,
communication or a multihop wireless relaying.
these nodes utilize their meshing functionalities to
Hybrid wireless networks utilize [3] both single- and
discover all possible routers and determine the optimal
multihop communications simultaneously within the
paths to the wired Internet. Furthermore, the existing
traditionally single-hop wireless networks such as
mesh routers reorganize the network considering the
cellular networks and wireless in local loops (WiLL).
newly available routes and hence; the network can be
WMNs use multihop wireless relaying over a partial
easily expanded. Mesh routers are resource-rich nodes
mesh topology for its communication. The primary
equipped with high processing and memory
differences between these two types of networks are
capabilities, while mesh clients have limited memory
mobility of nodes and network topology. Wireless ad
and computational power.
hoc networks are high mobility networks where the
network topology changes dynamically. On the other
hand, WMNs do have a relatively static network with
most relay nodes fixed. Therefore, the network
mobility of WMNs is very low in comparison with
wireless ad hoc networks.
B. Real time Video
Real time video at sender’s side is video that is
being transmitted live and at receiver’s side, is being
watched live. Video technologies are improving
dramatically and rapidly, supporting mobile and
ubiquitous real-time video experiences [8]. Low cost,
simple platforms for real-time video will become an
essential part of the way we communicate with each
other, and will spawn the next generation of consumer
behavior, business practice, media culture and
economics, and innovation policy.
Today, many devices are able to conduct live video
communications, and many more are in the pipeline
Fig.1: Wireless mesh network architecture

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Efficient real-time Video Transmission in Wireless Mesh Network 13

transforming the design, implementation, and use of deals with the tree construction, while here we are
those devices. Simultaneously, as real-time video interested in finding the maximum per flow bit-rate for
communications become part of our daily lives and our a given instance of the tree.
suite of business tools, we are seeing the beginnings of
persistent conversations across contexts tied more to C. Packet Loss and Delay-Jitter Problem
the user than the devices being used. As we move
through office, car, home, and elsewhere, our devices There are two kinds of packet losses that occur for
will be coordinated and linked to maintaining the real-time video transmission over multi-hop wireless
continuity of our communication events. In other networks. Firstly, a packet might be received corrupted
words, I could start a conference call on my office due to channel errors [6]. 802.11 MAC uses
computer, shift the call to my mobile device for my retransmissions to improve the reliability. Secondly,
commute home, and finish the call on my home for playback of real-time video every packet has a
computer or web-enabled television. deadline before which it has to be received at the
receiver. Packets that arrive late are considered lost
I. PROBLEM & SOLUTION and discarded. Packet losses induce distortion in the
reconstructed video and degrade the quality of the
A. Routing Problem video. Thus it is desirable to reduce losses. Packet
losses and network congestion cause large variations in
Streaming videos have high-bandwidth the one-way delay experienced by packets of a flow.
requirements. The routing problem is to determine Standard technique to smooth out this jitter is to
paths between each video source and the receiver such employ a playback buffer that adds some delay
that all flows get a good throughput while utilizing the between actual streaming and playback time. Packets
available bandwidth effectively. Since all flows end at received ahead in time are buffered before being
the receiver, this problem is same as constructing an played back. Theoretically, jitter can be completely
aggregation tree with receiver as the root and sources eliminated by having an infinite playback buffer. But
as leaves or intermediate nodes of the tree. due to the nature of live streaming, it is desirable to
Total number of bytes that can be received by the have a low delay before viewing. Therefore, the goal is
receiver in a unit time is limited by the capacity of the to employ as little playback delay as possible.
channel. This is the upper bound for the sum of the Moreover, the lower delay also implies lower buffer
throughput of all flows. However, the actual aggregate size requirements. In order for video to be played back
throughput is usually much less than this. The reason without disruption, the playback buffer should never
for this is as follows. Since all nodes are operating in be empty.
the same frequency band, the nodes that are within 1. Simulation setup and scenarios
each other’s sensing range contend for the channel
access. Intra-flow contention occurs when nodes along In order to check the effect of the size of the
a multi-hop path carrying the same set of flows contention window at MAC Layer for real-time video
contend with each other. This limits the total transmission in WMN, I use OPNET Modeler [10] 11.5
throughput along a multi-hop path. In contrast, when as a simulation software package with Microsoft visual
one or more flows merge together or when they are C++ 6.0 as a supporting tool on Microsoft Windows
spatially close enough to contend with each other, the XP operating system. The Opnet simulation software
capacity is shared among the flows and the throughput package is structured so that each network is modelled
of each flow reduces. While it is hard to eliminate as a configuration of nodes which are interconnection
intra-flow contention for a single-channel mesh of specific modules representing the various processes
network, spatial separation of routes for different flows those take place in the actual communications
can reduce inter-flow contention and improve the equipment. In the case of wireless network, the
throughput for each flow. interconnections among the nodes are automatically
determined during the process of the simulation as a
B. Fairness and Rate Allocation Problem function of user-supplied propagation parameters, such
as the effective transmission range of nodes.
Since our system model assumes that the video
sources are identical and generate similar bit-rate Scenario for simulation is shown in fig below. The
streams, the network resources need to be fairly shared size of scenario is office level and contains total 16
among all the flows. This can be achieved by a rate numbers of nodes.
based flow control at each of the sources [7]. All the In Fig.3 we assume that all stations are steady
flows are assigned the same bit-rate that can be except video receiver. Video receiver follows the path
transported successfully to the tree root. The rate which is shown using green line and experiences two
allocation and fairness problem is to determine the handovers at access point. ftp_client and ftp_server are
actual rate that can be supported by the aggregation for generating traffic.
tree. This problem is different from the routing, which

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Video Server node model:

Fig.3 Simulation scenario

2. Node Model Editor
The Node Editor is used to create models of nodes.
The node models are then used to create node
instances within networks in the Project Editor.
Internally, OPNET node models have a modular
structure. You define a node by connecting various
modules with packet streams and statistic wires. The
connections between modules allow packets and status
information to be exchanged between modules. Each
module placed in a node serves a specific purpose, Fig.4 Video server node model
such as generating packets, queuing packets,
processing packets, or transmitting and receiving Tx Manager keeps track to the information for packets
packets. forwarding.
This is an OPNET node model for wireless network Video Receiver node Model:
nodes which incorporates the proposed scheme for
network simulation. Wireless_lan_receiver and
wireless_lan_ transmitter process model of node
model implements the functionality of the Physical
Layer. Wireless_lan_mac and wireless_mac_intf
process model implements functionality of the Link
Layer for 802.11 MAC Protocol. Dsr_routing and
dsr_intf process model implements functionality for
Network Layer using DSR Routing Protocol. Process
models above this process models implements
functionality of Upper Layers.
Here the encoder process uses synthetic video
source based upon the group-of-pictures gamma-beta
auto-regression (GOP GBAR) model. It is used for
variable-rate MPEG video sources.
Network Abstraction Layer (NAL) is a part of
the H.264 Video Coding Standard. The coded video
data is organized into NAL units, each of which is
effectively a packet that contains an integer number of
bytes. The first byte of each NAL unit is a header byte Fig.5 Video receiver node model
that contains an indication of the type of data in the
NAL unit, and the remaining bytes contain payload Decoder process decodes and reforms video packets
data of the type indicated by the header. The NAL unit received.
structure definition specifies a generic format for use Automatic Repeat Request (ARQ) manager process
in both packet-oriented and bit stream-oriented responsible for receive packet and send back
transport systems, and a series of NAL units generated acknowledge to the server back.
by an encoder is referred to as a NAL unit stream [11].

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Access point node Model: FTP Client node model:

Fig.8 FTP client node model

3. MAC Layer Process Model Editor
Fig.6 Access point node model To create process models which control the
underlying functionality of the node models created in
Sink process receives the packet store in queue and the Node Editor one can use the Process Editor.
forwards towards the destination based on FIFO. Process models are represented by finite state
machines (FSMs) and are created with icons that
FTP Server node model:
represent states and lines that represent transitions
between states. Operations performed in each state or
for a transition are described in embedded C or C++
code blocks[9].
INIT
Initialization of the process mode. All the
attributes are loaded in this routine.
BSS_INIT
Schedule a self interrupt to wait for MAC
interface to move to next state after registering
IDLE
The purpose of this state is to wait until the packet has
arrived from the higher or lower layer.
In this state following interrupt can occur:
1. Data arrival from application layer
2. Frame (DATA, ACK, RTS, CTS) rcvd from PHY
layer
3. Busy interrupt stating that frame is being rcvd
4. Call interrupt indicating that more than one frame
is received.
When Data arrives from the application layer, insert
it in the queue. If receiver is not busy then set
Deference to DIFS and Change state to "DEFER"
state.Rcvd RTS, CTS, DATA, or ACK (frame rcvd
interrupt) set Backoff flag if the station needs to
Fig.7 FTP server node model backoff[11].

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change the states to wait for Response otherwise just
DEFER for next transmission.
2. If expected frame is rcvd then check what is the next
frame to transmit and set appropriate deference
timer.
a. If all the data fragments are transmitted then check
whether the queue is empty or If not then based on
threshold fragment the packet and based on
threshold decide whether to send RTS or not.
b. If there is a data to be transmitted then wait for
DIFS duration before contending for the channel.
c. If nothing to transmit then go to IDLE and wait for
the packet arrival from higher or lower layer.
3. If expected frame is not rcvd then infer collision, set
Fig.9 MAC Layer process model back off flag, if retry limit is not reached retransmit
If the frame is destined for this station then send the frame by contending for the channel.
appropriate response and set deference to SIFS clear If there is no frames expected then check to see if there
the receiver busy flag and clamp any data is any other frame to transmit. Also mark the channel
transmission. as idle.
If it's a broadcast frame then set deference to NAV BKOFF_NEEDED
and schedule self interrupt and change state to Determining whether to backoff or not. It is needed
"DEFER". Copy the frame (RTS/DATA) in when station preparing to transmit frame discovers
retransmission variable if receiver start receiving that the medium is busy or when the station infers
frame (busy stat interrupt) then set a flag indicating collision.
receiver is busy, if receiver start receiving more than Backoff is not needed when the station is
one frame then set the rcvd frame as invalid frame set responding to the frame.
deference time to EIFS. If backoff needed, then check whether the station
completed its backoff in the last attempt. If not then
DEFER resume the backoff from the same point, otherwise
Call the interrupt processing routine for each interrupt. generate a new random number for the number of
WAIT_FOR_RESPONSE backoff slots.
At the Enter execs level change in code is shown in
The purpose of this state is to wait for the response the fig.10 for changing the size of contention window.
after transmission. The only frames which require
BACKOFF
acknowledgements are RTS and DATA frame. In this
Call the interrupt processing routine for each interrupt.
state following interrupt can occur:
TRANSMIT
1. Data arrival from application layer
2. Frame (DATA, ACK, RTS, CTS) rcvd from PHY If the packet is received while the station is
layer transmitting then mark the received packet as bad.
3. Frame timeout if expected frame is not received The behaviour of the simulation model governed by
4. Busy interrupt stating that frame is being received a number of user defined parameters, lumped under the
5. Collision interrupt stating that more than one frame Wireless LAN Parameters attribute and selected via an
is received OPNET graphical user interface. The parameters are
Queue the packet as Data Arrives from application listed in figures below. Some parameters are of
layer numeric type where as others are popup list type.
If received unexpected frame then collision is inferred
and retry count is incremented if a collision stat 3.4 Parameter values:
interrupt from the receiver then flag the received frame The behaviour of the simulation model governed by
as bad. a number of user defined parameters, lumped under the
FRM_END Wireless LAN Parameters attribute and selected via an
The purpose of this state is to determine the next OPNET graphical user interface. The parameters are
unforced state after completing transmission. listed in figures below. Some parameters are of
There are three cases: numeric type where as others are popup list type.
1. If just transmitted RTS or DATA frame then wait for
response with expected_frame_type variable set and

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Fig.10 Code change

Fig.12 Attributes of Video Server

Fig.11 Attributes of Video Receiver

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II. RESULTS AND OUTCOMES B. Throughput Statistic
Results are obtained as object level statistics, Delay
Throughput is calculated based on time taken for
time and Throughput, collected by executing the
successful data delivery. Fig 15 we can find the
simulation model for 40 seconds and compared with
through put achieved for standard MAC and in fig 16
results obtained for standard MAC.
we can find the through put achieved for modified
A. Delay Statistic MAC. We can find improved through put in Modified
MAC.
The delay in real-time MAC layer is exploited by
the broadcast nature of wireless medium and limited
loss tolerance of the applications. Each additional
transmission consumes additional power and increases
network load is time delayed in delivery of data. Here
delay is introduced due to handovers. We can find the
difference in delay statistics for standard and modified
MAC. We can find the reduction of time delay in
modified MAC. The difference is shown in Fig 13 and
Fig 14.

Fig.4.3 Throughput for Standard MAC

Fig.13 Delay Statistics for Standard MAC

Fig.4.4 Throughput for Modified MAC

4.3 Result Analysis
By comparing the results obtained for delay time
for standard MAC and modified MAC, we can see that
delay time is decreased up to 0.1 seconds. By
comparing statistics for throughput using Standard
MAC and modified MAC, we can see that throughput
is increased. Finally we are able to simulate
transmission with less delay time and improved
throughput.

Fig.14 Delay Statistics for Modified MAC

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III. CONCLUSION
In this paper we have proposed a Simulation model
to demonstrate higher through put by reducing delay
time during real time video transmission in wireless
mesh networks. When we use WMNS, the complexity
lies in Routing, Hence we have shown emphasis on
routing, which causes more delay time during video
transmission, if we don’t have an efficient mechanism.
We have verified the effect of the size of contention
window at MAC Layer for real time video
transmission in WMN. We have used OPNET Modeler
11.5 as a simulation software package with Microsoft
visual C++ 6.0 as supporting tool on Microsoft
Windows XP operating system. Finally the results are
satisfactory
IV. REFERENCES
[1] A technical tutorial on the IEEE 802.11 protocol by
PabloBrenner, www.sss-mag.com/pdf/802_11tut.pdf
[2] A. Iwata, C.C. Chiang, G. Pei, M. Gerla, and T.W.
Chen, ‘‘Scalable Routing Strategies for Ad hoc
Wireless Networks,’’ IEEE Journal of Selected Areas in
Communications, vol. 17, no. 8, pp. 1369–1379, August
1999.
[3] Akyildiz, I.F., Wang, X., Wang, W., “Wireless Mesh
Networks: A Survey”, Computer Networks Journal
(Elsevier), March 2005.
[4] Amre El-Hoiydi, “Implementation options for the
distribution system in the 802.11 Wireless LAN
Infrastructure Network”, Proc. IEEE International
Conference on Communications 2000, vol. 1, pages
164-169, New Orleans, USA, June 2000.
[5] An Adaptive RTS/CTS Control Mechanism for IEEE
802.11MACProtocol
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ll_0227.pdf
[6] Anne H. Ren, Gerald Q. Maguire Jr., “An adaptive
realtime IAPP protocol for supporting multimedia
communications in wireless LAN systems”, Proc. Of
InternationalConferenceonComputerCommunications,
pp. 437 - 442, Japan, Sept. 1999.
[7] Distributed Coordinated Function (DCF)
http://www.vocal.com/network/802_11_index.html
[8] Future of Real time video communication
http://www.iftf.org/FutureofRealTimeVideoCommunic
ation
[9] IEEE standard for Wireless LAN Medium Access
Control (MAC) and Physical Layer (PHY)
specifications, ISO/TEC 8802-11:1999(E), Aug. 1999.
[10] S. Kompella, S. Mao, Y. Hou, and H. Sherali, “Cross-
layer optimized multipath routing for video
communications in wireless networks,” IEEE J. Select.
Areas Commun., vol. 25, no. 4, pp. 831–840, May
2007.
[11] S. Mao, Y. T. Hou, X. Cheng, and H. D. Sherali,
“Multipath Routing for Multiple Description Video in
Wireless Ad Hoc Networks,” in IEEE INFOCOM,
Miami, FL, pp. 740–750, Mar. 2005.

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EFFICIENT REAL-TIME VIDEO TRANSMISSION IN WIRELESS MESH NETWORK

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