WSN plays a vital role in many applications that have been used in day-to-day life. (Javaid et al. in HEER: hybrid energy efficient reactive protocol for wireless sensor networks, 2013) Wireless Sensor Networks (WSNs) have plenty of energy constraint components and do numerous operations like sensing, storing, computing and routing. Sometimes after the implementation of the sensor nodes in the stipulated location, they become inaccessible which results in an infeasible situation to supply energy for those devices. Usage of energy in an efficient way is an interpretative design issue in the WSN. Therefore, there is a need to harvest energy effectively, which also increases the lifespan of the network, which is an added advantage of energy harvesting. This module has illustrated a Hybrid Routing algorithm that increases the energy proficiency by using PSO (Particle Swarm Optimization) in a proactive approach and VNS (Variable Neighborhood Search algorithm) as its reactive algorithm. This approach has improved energy efficiency and increased the lifespan of the network. We have evaluated our proposed algorithm by comparing it with a similar hybrid energy harvesting algorithm. The suggested method works better than the PSO-HSA algorithm in terms of average energy consumption, throughput percentage, and network lifespan. This is confirmed by simulation results.

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A Hybrid Energy Harvesting Routing Protocol for WSN

  • T. Kavitha,
  • J. Kevin,
  • A. Libisha,
  • K. B. Uvasri

摘要

WSN plays a vital role in many applications that have been used in day-to-day life. (Javaid et al. in HEER: hybrid energy efficient reactive protocol for wireless sensor networks, 2013) Wireless Sensor Networks (WSNs) have plenty of energy constraint components and do numerous operations like sensing, storing, computing and routing. Sometimes after the implementation of the sensor nodes in the stipulated location, they become inaccessible which results in an infeasible situation to supply energy for those devices. Usage of energy in an efficient way is an interpretative design issue in the WSN. Therefore, there is a need to harvest energy effectively, which also increases the lifespan of the network, which is an added advantage of energy harvesting. This module has illustrated a Hybrid Routing algorithm that increases the energy proficiency by using PSO (Particle Swarm Optimization) in a proactive approach and VNS (Variable Neighborhood Search algorithm) as its reactive algorithm. This approach has improved energy efficiency and increased the lifespan of the network. We have evaluated our proposed algorithm by comparing it with a similar hybrid energy harvesting algorithm. The suggested method works better than the PSO-HSA algorithm in terms of average energy consumption, throughput percentage, and network lifespan. This is confirmed by simulation results.