Modeling the impact of clustering on the lifetime of wireless sensor networks
Madipour, Farhad; Rahman, M.F.; Murakami, K.J.
Citation:Mehdipour, F., Rahman, M F., & Murakami, K J. (2015, March). Modeling the Impact of Clustering on the Lifetime of Wireless Sensor Networks. Paper presented at The 3rd International Japan-Egypt Conference on Electronics, Communications, Computers (JEC-ECC), Fukuoka, Japan.
Permanent link to Research Bank record:http://hdl.handle.net/10652/3724
Energy efficiency and network lifetime are the most critical issues for Wireless Sensor Networks (WSNs). Clustering is one of the well-known techniques for reducing energy consumption of the network and improving its lifetime as well. However, clustering itself is time- and energy-consuming. For this reason, it is crucial to determine an appropriate clustering frequency so that the network lifetime is maximized. We formulate this problem and sketch a guideline on acquiring an optimal number of clusterings.