Optimized Energy Aware Routing Based on Suitable Based Antlion Group with Advanced Algorithm (SA-AOA) in Wireless Sensor Network

Abstract

Nowadays, remote sensor systems are winding up increasingly prevalent among the human networks. This is done through different applications such as reconnaissance, brilliant structures, shrewd water system, war zone checking, medicinal services. The applications include an enormous number of sensor hubs (SH) conveyed in the district of enthusiasm for a remote region. SH are normally minimal in size. They are controlled by battery source that has restricted vitality. The wireless sensor network (WSN) comprises of locally available sensors to detect different physical parameters of the earth. In the majority of the ongoing applications, SH are conveyed in an unmanned, remote condition where there is no probability for human intercession. In a SH, a large portion of battery vitality gets devoured in two different ways. The ways include sensing the different ecological parameters thereby sending the sensor occasion information to destination hub. The help of the neighbour nodes does this. The wireless sensor network’s lifetime for the most part dependent on the installed battery’s accessible vitality. Wireless sensor network likewise experiences the ill effects of few different issues. The issues include restricted registering power, correspondence disappointment, and time-fluctuating blurring channels. Vitality is said as a noteworthy problem in sensor organizes because it is essential for doing activities on the sensor hub.

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Correspondence to N. Prakash.

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Prakash, N., Rajalakshmi, M. & Nedunchezhian, R. Optimized Energy Aware Routing Based on Suitable Based Antlion Group with Advanced Algorithm (SA-AOA) in Wireless Sensor Network. Wireless Pers Commun 113, 59–77 (2020). https://doi.org/10.1007/s11277-020-07178-5

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Keywords

  • Sensor system (SS)
  • Sensor Hub (SH)
  • Particle swarm optimization (PSO)
  • Ant Lion optimization (ALO)
  • Fruitfly optimization algorithm (FFOA)
  • Grasshopper optimization algorithm (GOA)