Abstract
An internet of things system is expected to integrate the sensing, communication, networking, and cloud computing technologies in large-scale monitoring environments. The main monitoring infrastructure of internet of things systems is wireless sensor networks. Energy saving becomes one of the most important features for the sensing nodes to extend their lifetime in such systems. To provide reasonable energy consumption and to improve the network lifetime for the internet of things systems, efficient energy saving schemes must be developed. In this paper, a distributed cluster computing energy-efficient routing scheme is proposed to reduce the energy consumption and to extend the network lifetime for the internet of things systems. The main goal of this scheme is to reduce the data transmission distances of sensing nodes by using the cluster structure concepts. A center of gravity among the sensing nodes is calculated and the residual energy of each sensing node is taken into account in the cluster for selecting a suitable cluster head node. Based on the suitable cluster architecture, the data transmission distances between the sensing nodes can be reduced. The energy consumption is reduced and the lifetime is extended for the sensing nodes by balancing the network load. Simulation results show that the proposed scheme outperforms the previously known schemes in terms of the energy consumption and network lifetime for the internet of things systems.
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Chang, JY. A Distributed Cluster Computing Energy-Efficient Routing Scheme for Internet of Things Systems. Wireless Pers Commun 82, 757–776 (2015). https://doi.org/10.1007/s11277-014-2251-8
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DOI: https://doi.org/10.1007/s11277-014-2251-8