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Energy Efficient Routing Protocol in Sensor Networks Using Genetic Algorithm

Jatinkumar Patel, Hosam El‐Ocla

2021Sensors36 citationsDOIOpen Access PDF

Abstract

In this paper, we examine routing protocols with the shortest path in sensor networks. In doing this, we propose a genetic algorithm (GA)-based Ad Hoc On-Demand Multipath Distance Vector routing protocol (GA-AOMDV). We utilize a fitness function that optimizes routes based on the energy consumption in their nodes. We compare this algorithm with other existing ad hoc routing protocols including LEACH-GA, GA-AODV, AODV, DSR, EPAR, EBAR_BFS. Results prove that our protocol enhances the network performance in terms of packet delivery ratio, throughput, round trip time and energy consumption. GA-AOMDV protocol achieves average gain that is 7 to 22% over other protocols. Therefore, our protocol extends the network lifetime for data communications.

Topics & Concepts

Distance-vector routing protocolComputer scienceRouting protocolComputer networkAd hoc On-Demand Distance Vector RoutingZone Routing ProtocolDynamic Source RoutingWireless Routing ProtocolLink-state routing protocolDestination-Sequenced Distance Vector routingOptimized Link State Routing ProtocolNetwork packetAlgorithmDistributed computingEnergy Efficient Wireless Sensor NetworksMobile Ad Hoc NetworksEnergy Harvesting in Wireless Networks