An energy-aware clustering approach for routing mechanism in WSN using Cuckoo Search
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Abstract
Background/Objectives: In WSN, numerous obstacles are there in providing Quality of Service (QoS) routing at some preferred level. The main concern of the routing protocols in WSN is to offer energy-efficient framework. To propose an energy-efficient routing protocol, stability, and overall lifetime have a major role. Therefore, this research article has an objective to propose an energy-efficient clustering method in WSN using cuckoo search for routing protocol.
Methods/Statistical analysis: This research has proposed a route discovery process with the cluster heads (CH). The CH distortion of CH has been identified later on, and for the optimization of battery life, Cuckoo Search (CH) optimization algorithm has been used.
Findings: It has been discovered that with the utilization of the proposed CS mechanism, the CH method becomes speedy, and the selected CH helps in the prevention of packet loss as of maximal energy.
Improvements/Applications: With the usage of the CS method, an enhancement has been noticed in proposed work through remaining battery power, throughput, and Packet Delivery ratio (PDR). To be precise, 3.9% of improvement has been drawn then conventional methods
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