- Open Access
- Total Downloads : 129
- Authors : Apoorva V, Huzefa Mehnaz, Rakshitha M R, Mahalakshmi S
- Paper ID : IJERTV3IS051723
- Volume & Issue : Volume 03, Issue 05 (May 2014)
- Published (First Online): 03-06-2014
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Behaviour and Analysis of MANET Routing Protocols for an Emergency and Rescue Scenario
Mahalakshmi S
Assistant Professor; BMSIT Bangalore, India
Apoorva V Student; BMSIT Bangalore, India
Huzefa Mehnaz Student; BMSIT Bangalore, India
Rakshitha M R Student; BMSIT Bangalore, India
Abstract A collection of wireless mobile nodes, without a fixed infrastructure or central administration is termed as a Mobile Ad-Hoc Network (MANET). These characteristics of MANET make it suitable for an emergency and rescue scenario which requires effective communication. Routing strategies: proactive, reactive and hierarchical are considered, under which DSDV, DSR, AODV and CBRP are simulated and analysed for better performance in an emergency and rescue topography. NS2 simulator has been used for the study. From the comparative analysis of routing protocols it can be shown that the hierarchical routing strategy has a better performance in terms of parameters such as throughput, end to end delay, packet drop and packet delivery ratio for an emergency and rescue scenario.
Keywords AODV, DSDV, DSR, CBRP, MANET, ERS
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INTRODUCTION
A Mobile Ad Hoc Network (MANET) is a collection of wireless nodes that can dynamically configure a network to exchange the information without using any fixed network infrastructure[5]. MANETs do not need any pre-existing network infrastructure or base stations to create a network[4]. As the network does not consist of routers, each mobile device will not only act as source and destination, they also act as router routing the information from one node to another and because the structure of the network can change quickly and unpredictably the network will be able to adapt to the changes very quickly making it ideal for emergency and rescue scenarios where communication is expected to occur with minimum loss and in an energy efficient manner.
This paper aims to determine which one of the MANET routing strategies: proactive, reactive or hierarchical, performs better in an emergency and rescue operations with respect to random waypoint mobility model to provide uninterrupted service to the mobile users irrespective of the geographical location and the speed at which the mobile user is moving and to provide information to service providers helping them decide and implement a well suited and robust communication protocol during emergency and rescue scenarios.
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RELATED WORK
Routing is considered to be a parameter for effective communication in an ERS. This paper makes a comparative analysis of routing protocols under three categories: proactive, reactive and hierarchical in an ERS.
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MANET routing protocols
Proactive/table driven routing: All the mobile devices which are a part of the network will exchange routing information or routing table periodically. The route is maintained at all the nodes and it reacts to the addition of a new node into the network. The main idea is to distribute the information periodically though the networks in order to pre calculate all the possible paths and changes are propagated to all the nodes. Too much of updating may cause over loading which directly affects the utilization of bandwidth and energy efficiency. But the proactive protocols are better in terms of performance and packet delivery fraction and are most suitable in static topology. Eg: DSDV, CGSR, WRP etc
Reactive/source initiated routing: The paths for the devices will be decided when the source makes a request for transmission that is, routing table exchange does not take place. It allows the update of the tables on demand. This can be done in two parts: Route discovery which occurs when node wants to communicate with the specific destination and Route maintenance which is used to maintain the path failure caused by mobility of nodes. The drawback of these protocols is the latency to initiate communication. Reactive protocol would be energy saving during communication, since a non- constant network update improves energy saving on mobile devices. Eg: DSR, TORA, ABR, AODV etc.
Hierarchical routing: The protocol divide the MANET into groups of nodes called clusters, where in a cluster head is responsible for distribution of information across the network generated in its cluster. Such a routing protocol is essential for an emergency and rescue scenario as there is a central administrator for each cluster, thus providing faster communication, saves energy and bandwidth, and has better network performance. Proactive protocol DSDV, reactive protocols AODV and DSR and hierarchical protocol CBRP was chosen under the following considerations:
AODV and DSDV were chosen because they showed the best performance in their categories[3]. CBRB is a protocol which uses DSR as a back end; hence there is a need to evaluate the performance of DSR with CBRP. CBRP a reactive protocol shows significant advantage in energy consumption, bandwidth and network performance[2]. To evaluate the performance of the above mentioned protocols for an ERS, the parameters throughput, end-to-end delay, packet drop and packet delivery ratio are considered.
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Methodology for performance analysis of routing protocols
The analysis is carried out in three phases: preparation, study and analysis, results and conclusion. Preparation involves creation of scenario with mobile nodes followed by study and analysis of protocols with respect to number of nodes and parameters. The final phase includes results generation as shown in figure1.
Fig 1: Method for result generation
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Proposed Scenario
Simulation is carried out considering the scenarios with 25, 50, 75 and 100 nodes.
To define the simulation scenarios the basic values and parameters for different protocols are as shown in Table1.
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Performace Metrics
In order to determine a better protocol for an ERS, the following parameters were considered:
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Throughput: It is a significant measure for an ERS, it describes the rate of successful delivery of message over a communication channel, measured in bits per second. Fig 1 demonstrates high throughput value of CBRP protocol compared to DSDV,AODV and DSR even with the increase of the number of nodes.
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Packet drop: It is the number of packets dropped by intermediate nodes due to mobility, link breakage, expiration of time etc. Fig 2 shows the erratic behaviour of packet drop in CBRP for 75 nodes due to different speeds of nodes and mobility, but is the least packet drop compared to the other protocols for the other sets of nodes.
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Packet Delivery Ratio: It is the ratio defining the number of packets sent verses the number of packets received. Higher packet delivery ratio indicates better the performance. Fig 3 shows a significant high packet delivery ratio in CBRP across the increasing number of nodes.
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End-to-end delay: It is the time taken by the packet to arrive at the destination which includes route discovery time, queueing time, propagation time. Lower end-to-end delay indicates better performance. Fig 4 shows CBRP demonstrating a moderate end-to- end delay across the increasing number of nodes when compared to the variations in the other protocols.
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Table 1. Basic Values and Parameters
Variable
Value
Observations
set val(chan)
Channel/WirelessChannel
channel type
set val(prop)
Propagation/TwoRayGround
radio-propagaton model
set val(netif)
Phy/WirelessPhy
network interface type
set val(mac)
Mac/802_11
MAC type
set val(ifq)
Queue/DropTail/PriQueue
interface queue type
set val(ll)
LL
link layer type
set val(ant)
Antenna/OmniAntenna
antenna model
set val(ifqlen)
25
max packet in ifq
set val(nn)
25,50,75,100
number of mobilenodes
set val(rp)
DSDV, AODV,DSR, CBRP
routing protocol
set val(x)
1000
X dimension of topography
set val(y)
750
Y dimension of topography
Set val(stop)
100
Simulation time
Table 2. Throughput
No. of nodes
AODV
CBRP
DSDV
DSR
25
220.221
232.229
215.37
220.485
50
218.009
223.309
214.577
213.671
75
180.157
237.134
213.834
216.411
100
213.728
221.701
22.4975
214.132
No. of nodes
AODV
CBRP
DSDV
DSR
25
14
5
31
7
50
22
11
13
37
75
3
29
36
6
100
17
17
5
20
Fig 2. Throughput Table 3. Packet Drop
Fig 3. Packet Drop
Table 4. Packet delivery ratio
No. of nodes
AODV
CBRP
DSDV
DSR
25
99.2887
92.2327
85.1192
97.8368
50
99.2068
99.1024
71.887
94.8254
75
99.4537
87.676
61.1444
94.8206
100
99.4207
98.0342
11.2708
94.215517
No. of nodes
AODV
CBRP
DSDV
DSR
25
175.184
229.133
115.218
258.485
50
170.76
265.542
59.3577
170.354
75
176.144
221.211
12.0779
25.803
100
184.446
272.08
0
270.83
Fig 4. Packet Delivery Ratio Table 5. End-to-End Delay
Fig 5. End-to-End Delay
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CONCLUSION
This study for the evaluation and comparison of DSDV, AODV, DSR and CBRP shows that the best protocol for an ERS is CBRP. Though a little loss of information takes place during routing, and there is fluctuation in the data rates, CBRP performs better in comparison to the other protocols. Hence it can be shown that a hierarchical protocol, CBRP is well suited for an ERS, allowing a better evacuation of persons to an appropriate location.
REFERENCES
-
Liliana Enciso Quipse, Luis Mengual Galan, Behaviour of Ad Hoc routing protocols, analysed for emergency and rescue scenarios, on a real urban area , Expert Systems with Applications, Elsevier publication 2013.
-
Jahani, S., & Bagherpour, M , A clustering algorithm for mobile ad hoc networks based on spatial auto-correlation. In 2011 International symposium on computer networks and distributed systems (CNDS) (pp. 136141).
-
Reina, D., Toral, S., Barrero, F., Bessis, N., & Asimakopoulou, E, Modelling and assessing ad hoc networks in disaster scenarios, Journal of Ambient Intelligence and Humanized Computing, 19. 2012
-
Gupta, S. K., & Saket, R, Performance metric comparison of aodv and dsdv routing protocols in manets using ns-2, IJRRAS, 7(3), 339350, 2011.
-
Ghulam Yasin, Syed Fakhar Abbas, S R Chaudhry, MANET routing protocols for real-time multimedia applications, WSEAS transactions on communications, Issue 8, Vol 12, August 2013.