Simulation based evaluation of MANET routing protocols for static WSN

Ihbeel, Ali A. S.; Sigiuk, Hasein Issa; Alhnsh, Abdelhadi A.

doi:10.1109/intech.2012.6457750

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…The parameters that are studied are energy consumption and energy-delay product. We have studied the energy consumption with some of routing protocols namely AODV, DSDV and DSR and compared the energy delay product with [4]. We have used ZigBee specifications[14] unless otherwise specified.…”

Section: Resultsmentioning

confidence: 99%

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A game theoretic routing framework based on energy-delay conservation in WSNs

Jamin

Chatterjee

Samanta

2015

2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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Efficient energy consumption and management are very crucial in wireless sensor networks (WSNs) because the sensor nodes are typically resource constrained. Proper designs of various network functions are important not only to prolong the life of a node but also to enable the network to deliver the necessary services with some assurance. In this paper, we use game theory to propose an efficient routing scheme in a WSN that consider the signal-to-interference and noise ratio (SINR) to determine the most optimal paths. The game is modeled as a dynamic, non-cooperative, and incomplete information game with the static sensor nodes as the players in the network. We define a utility function that strikes a balance between energy consumption and delay. We show that Nash equilibrium is obtained for the net utility under certain conditions. Moreover, we show that the Nash equilibrium is self-imposed when the nodes play their best response strategy. Through simulation experiments, we study the performance of the network based on the utility functions. Results reveal that the proposed routing scheme performs better than traditional ones.

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Section: Resultsmentioning

confidence: 99%

“…To compare the performance of AODV, DSDV, and DSR protocols with our algorithm, we used areas of 2121m× 425m, 3000m×600m, 3675m×735m, 4250m×850m, and 5000m×1000m populated by 100, 200, 300, 400, and 500 static nodes, respectively [4]. Data rate used was 4packets/sec.…”

Section: Resultsmentioning

confidence: 99%

A game theoretic routing framework based on energy-delay conservation in WSNs

Jamin

Chatterjee

Samanta

2015

2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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“…Static routing [5] does not reflect any topology change that occurs in the network. But dynamic routing [6] automatically discovers routes and can react to network changes.…”

Section: General Routing Protocols For Emergency and Rescue Scenariosmentioning

confidence: 99%

Behaviour of Routing Protocols in Mobile Ad Hoc Networks Investigated for Emergency and Rescue Situation in India

Sivagurunathan¹,

chandran²

2016

IJWMN

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“…DSR is shown to be not suitable for such conditions, while AODV is. Paper [13] compares DSR, AODV, and DSDV performance in static WSN networks using NS-2 simulations. DSR showed best performance results: packet delivery rate, average delay, routing overhead, average energy per packet.…”

Section: Related Workmentioning

confidence: 99%

A survey and performance evaluation of ad-hoc multi-hop routing protocols for static outdoor networks

Dugaev

Zinov

Siemens

et al. 2015

2015 International Siberian Conference on Control and Communications (SIBCON)

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This paper shows a survey of routing algorithms for ad-hoc wireless networks, which can be used in intelligent street lighting applications. The suitability of the protocols -AODV, DSDV, OLSR and DSR, which represent two main routing approaches, employed in wireless mobile ad-hoc networks (MANET): proactive and reactive, has been analyzed, based on an NS-3 simulation.In section 1, the main goals of this research are stated. In sections 2 and 3, the general routing agendas are described, as well as a short explanation of the four protocols is given.Further, we concentrate on analyzing the routing performance and predicting the "weak points" of each protocol, where a major performance degradation is assumed to be reached under a given network conditions (topology, number of nodes, mobility and nodes' density).In sections 4 to 6, our assumptions are tested and confirmed with the help of a network scenario modeling, implemented inside NS-3 discrete-event network simulator, where the network performance has been evaluated in a form of average throughput, one-way delay, jitter and packet loss rate (PLR) per UDP connection. Finally, we conclude, that the DSR routing protocol has best performance characteristics among the others and the particular routing approach used in DSR (the source routing with route caching [1], [2]) overcomes the rest in the test network with the given parameters. Nevertheless, for the other routing protocols (DSDV and OLSR), appropriate modifications can be made for achieving performance optimization.

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Simulation based evaluation of MANET routing protocols for static WSN

Cited by 7 publications

References 9 publications

A game theoretic routing framework based on energy-delay conservation in WSNs

A game theoretic routing framework based on energy-delay conservation in WSNs

Behaviour of Routing Protocols in Mobile Ad Hoc Networks Investigated for Emergency and Rescue Situation in India

A survey and performance evaluation of ad-hoc multi-hop routing protocols for static outdoor networks

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