Research Area:  Wireless Sensor Networks
Prolonging a wireless sensor networks lifetime is closely related to energy consumption and particularly the energy hole problem, where sensor nodes close to the sink consume a considerable amount of their energy for relaying purposes. To tackle the energy hole problems effects, this paper proposes an analytical model for analyzing the available energy in the network. The next step is to analytically model the overall energy consumption as a k-median facility location problem, its solution corresponding to the location of k sinks in the network.As analytically shown, when k sinks are placed according to the solution of the previous facility location problem, then the overall energy consumption is minimized, resulting in a higher energy-saving system. Thus, the saved energy can be further utilized, e.g., to extend the networks lifetime and support modern replenishing techniques such as energy harvesting and battery recharging. Simulation results validate the analytical model that is the basis of the analysis and confirm the results with respect to the available energy in the network. In particular, significant energy savings are observed when the analytical results are applied, thus resulting in better energy utilization and subsequent network lifetime increment.
Author(s) Name:  Georgios Tsoumanis,Konstantinos Oikonomou,George Koufoudakis and Sonia Aïssa
Journal name:  Computer Networks
Publisher name:  ELSEVIER
Volume Information:  Volume 141, 4 August 2018, Pages 166-178
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S1389128618303244