In this paper,the energy conservation in the ununiform clustered network field is proposed.The fundamental reason behind the methodology is that in the process of CH election,nodes Competition Radius(CR)task is based ...In this paper,the energy conservation in the ununiform clustered network field is proposed.The fundamental reason behind the methodology is that in the process of CH election,nodes Competition Radius(CR)task is based on not just the space between nodes and their Residual Energy(RE),which is utilized in Energy-Aware Distributed Unequal Clustering(EADUC)protocol but also a third-degree factor,i.e.,the nearby multi-hop node count.In contrast,a third-factor nearby nodes count is also used.This surrounding data is taken into account in the clustering feature to increase the network’s life span.The proposed method,known as Energy Conscious Scattered Asymmetric Clustering(ECSAC),self-controls the nodes’energy utilization for equal allotment and un-equal delivery.Besides,extra attention is agreed to energy consumption in the communication process by applying a timeslot-based backtracking algorithm for increasing the network’s lifetime.The proposed methodology reduces the clustering overhead and node communication energy consumption to extend the network’s lifetime.Our suggested method’s results are investigated against the classical techniques using the lifetime of the network,RE,alive hop count and energy consumption during transmission as the performance metric.展开更多
文摘In this paper,the energy conservation in the ununiform clustered network field is proposed.The fundamental reason behind the methodology is that in the process of CH election,nodes Competition Radius(CR)task is based on not just the space between nodes and their Residual Energy(RE),which is utilized in Energy-Aware Distributed Unequal Clustering(EADUC)protocol but also a third-degree factor,i.e.,the nearby multi-hop node count.In contrast,a third-factor nearby nodes count is also used.This surrounding data is taken into account in the clustering feature to increase the network’s life span.The proposed method,known as Energy Conscious Scattered Asymmetric Clustering(ECSAC),self-controls the nodes’energy utilization for equal allotment and un-equal delivery.Besides,extra attention is agreed to energy consumption in the communication process by applying a timeslot-based backtracking algorithm for increasing the network’s lifetime.The proposed methodology reduces the clustering overhead and node communication energy consumption to extend the network’s lifetime.Our suggested method’s results are investigated against the classical techniques using the lifetime of the network,RE,alive hop count and energy consumption during transmission as the performance metric.
