Abstract
In the last years, due to the limited resources of consumer products, energy-saving is known as one of the design challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique to enhance the performance of the network including energy efficiency, network scalability, and network easier management. In cluster-based networks, the size of clusters has a key role in the network power consumption. Non-optimized clustering results in increasing the power consumption of the whole network. The small size clusters leads to appear coverage hole in the network, as well as this property is the opposite of being the scalability of the network. In addition, in non-optimized clusters, reducing the energy consumption of the nodes as the key objective of clustering, cannot be pursued, thus the clustering will result contrary. Consequently, the energy consumption reduction after clustering can be guaranteed by considering the power consumption of nodes before clustering in cluster size optimization. Hence, in this paper, an Energy-efficient and Coverage-guaranteed Unequal-sized Clustering (ECUC) scheme is proposed which considers both energy and coverage issues simultaneously in optimizing the cluster size. Based on the simulation results, the proposed scheme remarkably enhances the network lifetime by reducing the total dissipated energy while guarantying the coverage issue.
Highlights
In this paper, Energy-efficient and Coverage-guaranteed Unequal-sized Clustering (ECUC) scheme is presented that addresses the cluster formation problem while least overheads and coverage preservation
Reducing the energy consumption is one objective of clustering; this goal cannot be reachable with constructing the clusters without considering the difference the energy consumption before and after clustering
The ECUC overcomes these limitations by determining the optimal cluster size interval
Summary
Wireless Sensor Network (WSN) usually consists of many types of consumer devices. The main duty of these components is to sense data from the environment and transmit toward a Base Station (BS) [1], [2]. Based on literature review, generating the small sized clusters increases the probability of constructing empty clusters in the network, which leads to coverage holes, as well as, this property diminishes the scalability of the clustering scheme. Large size clusters trigger excessive energy consumption in the network If this parameter is not adjusted properly, decreasing the energy consumption of nodes as a key objective of applying clustering, cannot be achieved; the clustering process will act contrary in this regard. In order to guarantee the energy consumption reduction after clustering, the energy consumption of nodes before clustering should be considered; this principle is not addressed in previous works.
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