Abstract
Since sensor nodes have limited energy resources, prolonging network lifetime and improving scalability are essential elements in energy- efficient Wireless Sensor Networks (WSNs). Most existing approaches consider the residual energy of a single node when electing a cluster head (CH), omitting other factors associated with the node, such as its location within the WSN topology and its nodal degree. Thus, this paper proposes a new Dynamic Weight Clustering based Algorithm (DWCA) for WSNs to reduce the overall energy consumption, balance the energy consumption among all nodes and improve the network scalability. The study has examined the performance of the proposed DWCA algorithm using simulation experiments. We compare the performance of our DWCA against some counterparts. The results demonstrate that our algorithm outperforms its counterparts in terms of energy efficiency and scalability.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Essa, A., Al-Dubai, A.Y., Romdhani, I., Eshaftri, M.A. (2017). A New Dynamic Weight-Based Energy Efficient Algorithm for Sensor Networks. In: Hu, J., Leung, V., Yang, K., Zhang, Y., Gao, J., Yang, S. (eds) Smart Grid Inspired Future Technologies. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 175. Springer, Cham. https://doi.org/10.1007/978-3-319-47729-9_20
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DOI: https://doi.org/10.1007/978-3-319-47729-9_20
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