Behaviour and Analysis of MANET Routing Protocols for an Emergency and Rescue Scenario

DOI : 10.17577/IJERTV3IS051723

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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

  1. 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.

  2. 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.

    1. 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.

    2. 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

    3. 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.

    4. Performace Metrics

      In order to determine a better protocol for an ERS, the following parameters were considered:

      • 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.

      • 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.

      • 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.

      • 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.

    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

  3. 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

  1. 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.

  2. 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).

  3. 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

  4. Gupta, S. K., & Saket, R, Performance metric comparison of aodv and dsdv routing protocols in manets using ns-2, IJRRAS, 7(3), 339350, 2011.

  5. 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.

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