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Comparison Analysis of EPMS and TABU/PSO EPMS Routing Protocol in WSN


Affiliations
1 Department of Computer Engineering, CT Institute of Engineering and Management Technology, Jalandhar, Punjab, India
 

Routing in wireless sensor network is a key challenge. The appropriate routing is done in wsn by using swarm intelligence approach. Various swarm intelligence techniques are available like ant colony optimization, particle swarm optimization, artificial bee colony optimization etc. But hybrid approach of TABU and PSO is a promising one. The integration of TS to PSO allows algorithm to sustain the population diversity and avoiding directing to misguiding local optima. Average energy consumption is high in TS as comparison with PSO and less calculation time is utilized in TS than PSO. The output of the experiment show that the optimize algorithm not only reduce the number of paths but also finding the shortest path at the place of largest path. The simulation result shows that combination of TABU-PSO performs better than Energy Efficient PSO in terms of dead nodes, alive nodes and throughput of the network.

Keywords

Wireless Sensor Networks, Routing, TABU/PSO Dead Nodes, Alive Nodes and Throughput.
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  • Comparison Analysis of EPMS and TABU/PSO EPMS Routing Protocol in WSN

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Authors

Sannia
Department of Computer Engineering, CT Institute of Engineering and Management Technology, Jalandhar, Punjab, India
Varsha
Department of Computer Engineering, CT Institute of Engineering and Management Technology, Jalandhar, Punjab, India

Abstract


Routing in wireless sensor network is a key challenge. The appropriate routing is done in wsn by using swarm intelligence approach. Various swarm intelligence techniques are available like ant colony optimization, particle swarm optimization, artificial bee colony optimization etc. But hybrid approach of TABU and PSO is a promising one. The integration of TS to PSO allows algorithm to sustain the population diversity and avoiding directing to misguiding local optima. Average energy consumption is high in TS as comparison with PSO and less calculation time is utilized in TS than PSO. The output of the experiment show that the optimize algorithm not only reduce the number of paths but also finding the shortest path at the place of largest path. The simulation result shows that combination of TABU-PSO performs better than Energy Efficient PSO in terms of dead nodes, alive nodes and throughput of the network.

Keywords


Wireless Sensor Networks, Routing, TABU/PSO Dead Nodes, Alive Nodes and Throughput.

References