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With the fast development of the micro-electro-mechanical systems (MEMS),wireless sensor networks (WSNs) have been extensively studied.Most of the studies focus on saving energy consumption because of restricted energy supply in WSNs.Cluster-based node scheduling scheme is commonly considered as one of the most energy-efficient approaches.However,it is not always so efficient especially when there exist hot spot and network attacks in WSNs.In this article,a secure coverage-preserved node scheduling scheme for WSNs based on energy prediction is proposed in an uneven deployment environment.The scheme is comprised of an uneven clustering algorithm based on arithmetic progression,a cover set partition algorithm based on trust and a node scheduling algorithm based on energy prediction.Simulation results show that network lifetime of the scheme is 350 rounds longer than that of other scheduling algorithms.Furthermore,the scheme can keep a high network coverage ratio during the network lifetime and achieve the designed objective which makes energy dissipation of most nodes in WSNs balanced.
With the fast development of the micro-electro-mechanical systems (MEMS), wireless sensor networks (WSNs) have been extensively studied. Most of the studies focus on saving energy consumption because of restricted energy supply in WSNs. Cluster-based node scheduling scheme is commonly considered as one of the most energy-efficient approaches. However, it is not always so efficient more when there is hot spot and network attacks in WSNs.In this article, a secure coverage -preserved node scheduling scheme for WSNs based on energy prediction is proposed in an uneven clustering algorithm based on arithmetic progression, a cover set partition algorithm based on trust and a node scheduling algorithm based on energy prediction. Simulation results show that network lifetime of the scheme is 350 rounds longer than that of other scheduling algorithms.Furthermore, the scheme can keep a high network coverage ratio during the network lifeti me and achieve the designed objective which makes energy dissipation of most nodes in WSNs balanced.