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Energy-Based Improved MPR Selection in OLSR Routing Protocol

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Data Management, Analytics and Innovation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1042))

Abstract

Wireless Ad hoc networks are consisting of wireless nodes that communicate over wireless medium without any centralized controller, fixed infrastructure, base station, or access point. The networks should be established in a distributed and decentralized way. Performance of mobile Ad hoc network depends on the routing scheme chosen. Extensive research has been taken place in recent years to suggest many proactive and reactive protocols to make them energy efficient. In this work, table-driven routing protocol, i.e., optimized link-state routing protocol (OLSR) is tried to make more energy efficient which also helps in prolonging the network lifetime. OLSR is a proactive routing protocol in Mobile Ad hoc Networks (MANETS) which is driven by hop-by-hop routing. The conventional OLSR is hybrid multipath routing, in which link-state information is forwarded only by Multi-Point Relays (MPRs) selected among one-hop and two-hop neighbor sets of host. In this work, a novel mechanism is introduced to select MPR among nodes neighbor set to make it more energy efficient by considering willingness of node. Proposed energy-aware MPR selection in MDOLSR is compared with conventional OLSR. Extensive simulations were performed using NS-2 simulator, and simulation results show improved network parameters such as higher throughput, more Packet Delivery Ratio (PDR) and lesser end-to-end delay as simulation time progresses.

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Correspondence to Rachna Jain .

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Jain, R., Kashyap, I. (2020). Energy-Based Improved MPR Selection in OLSR Routing Protocol. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-32-9949-8_41

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  • DOI: https://doi.org/10.1007/978-981-32-9949-8_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9948-1

  • Online ISBN: 978-981-32-9949-8

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