A Novel Energy Harvesting: Cluster Head Rotation Scheme (EH-CHRS) for Green Wireless Sensor Network (GWSN)
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Wireless Sensor Network (WSN) serves as a better solution for remote unmanned monitoring situations. The harvesting capabilities in Green Wireless Sensor Network (GWSN) do not satisfy the real energy demand and it greatly determines the lifetime of the GWSN. The (a) excess harvesting leads energy overflow and (b) meager energy harvesting leads unavailability in monitoring of the event. The energy management favoring continuous monitoring in WSN is the problem addressed in this article. This article concentrates in creating a solution for energy outage and energy overflow problem in GWSN. The residual energy of the buffer and current harvesting rate is considered to create an energy efficient routing algorithm for GWSN. The energy arrival is poisson in nature, the energy harvesting, storing and utilization in the battery is realized as a Double Chain Markov Model. The algorithm proves to be energy efficient and delivers high throughput when compared with Stable Election Protocol (SEP) algorithm. The proposed Energy Harvesting—Cluster Head Rotation Scheme (EH-CHRS) algorithm minimizes the energy overflow and energy outage in the network by optimal Cluster Head (CH) selection and CH rotation method. The algorithm is analyzed with different harvesting rate λ = 1 and 2. The EH-CHRS algorithm also promotes reduced drop packet when compared to the SEP protocol. The algorithm also resist energy hole problem and HOT SPOT problem in the network.
KeywordsGreen Wireless Sensor Network (GWSN) Double Chain Markov Model (DCMM) Energy management Network throughput Energy outage Energy overflow
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