Data Aggregation Using Squirrel Search Algorithm in Wireless Sensor Networks

Authors

  • K. Panimalar  Research scholar, Department of Computer Science and Engineering, Pondicherry Engineering College, Pondicherry, India
  • S. Kanmani  Professor, Department of Information Technology, Pondicherry Engineering College, Pondicherry, India
  • V. Nithya  Department of Information Technology, Pondicherry Engineering College, Pondicherry, India
  • A. Subalakshmi  Department of Information Technology, Pondicherry Engineering College, Pondicherry, India
  • S. Vishvetha  Department of Information Technology, Pondicherry Engineering College, Pondicherry, India

Keywords:

WSN-Energy Consumption-Network Lifetime-Data Aggregation-Squirrel Search Algorithm

Abstract

In a wireless sensor network (WSN), individual sensor nodes have limitations such as energy consumption, packet delivery, and delay and network lifetime. Data aggregation is an important method for lowering energy consumption of each sensor nodes in WSN. This helps in achieving increased network lifetime in WSN. Therefore, in order to improve the energy efficiency and lifespan of the network, Cluster-based data aggregation using Squirrel Search Algorithm is proposed in this paper.Cluster Head(CH) selection plays an important role for increasing the network lifetime. Criteria such as energy, distance are taken into consideration for selecting sensor nodes. For Cluster Head (CH) re-Electing, criteria such as its Residual energy and Received Signal Strength (RSS) are taken into consideration. Hence the sensor nodes with best CHs selected. Simulation results conducted in MATLAB shows that the Data Aggregation using Squirrel Search Algorithm (SSA) was able to improve the network lifetime, energy efficiency, delay compared with the Firefly Algorithm (FA) and Shuffled Frog Algorithm (SFA).

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Published

2021-04-10

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Section

Research Articles

How to Cite

[1]
K. Panimalar, S. Kanmani, V. Nithya, A. Subalakshmi, S. Vishvetha, " Data Aggregation Using Squirrel Search Algorithm in Wireless Sensor Networks, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.628-639, March-April-2021.