Date of Publication :27th December 2017

Abstract: Wireless Sensor Networks (WSNs) consist of a large number of sensor nodes deployed in a given region of interest to fulfil tasks such as area surveillance, biological detection, home care, object tracking, and sending information to sink nodes via multihop communication. The data collection from sensor nodes using mobile sink has been studied in Energy Harvesting Wireless Sensor Networks (EH-WSNs) with most focus on throughput maximization. The existing system used a Mixed Integer Linear Programming (MILP) Optimization model is introduced for energy harvesting based data collection and also designed two efficient algorithms namely Optimal Distance per Slot Allocation Algorithm (ODSAA) and Optimal Distance Allocation Algorithm (ODAA) for two practically implementable scenarios with fixed sink mobility model. However, high delay and packet loss incurred due to the fixed sink mobility model. The proposed system used a Particle Swarm Optimization (PSO) model based two efficient algorithms namely ODSAA and ODAA with Destination Sequence Distance Vector Routing Protocol. This system reduces the delay and packet loss by varying the sink mobility model using Sink Speed Allocation Algorithm and increases the Network Lifetime and Throughput. Another thing is Trust Values or Threshold Values are calculated based on the node behavior reported by their neighbours. The simulations are done by using network simulator and the parameter such as lifetime; total data collected by sink node, packet loss, delay, trust values are analyzed.

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