Title: Adaptive sink mobility for energy-efficient data collection in grid-based wireless sensor networks
Authors: Sarra Messai; Zibouda Aliouat; Hamida Seba; Abdallah Boukerram
Addresses: Département d'informatique, Faculté des sciences, Université Ferhat Abbas Sétif 1, 19000 Sétif, Algeria; Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR5205, F-69622, France ' Faculté des sciences, Département d'informatique, Université Ferhat Abbas Sétif 1, 19000 Sétif, Algeria ' Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR5205, F-69622, France ' Département d'informatique, Faculté des sciences exactes, Université A. Mira de Béjaia, 06000 Béjaia, Algeria
Abstract: Many recent studies show that sink mobility in wireless sensor networks (WSNs) preserves the energy of the sensors for a longer network lifetime. These approaches require generally a logical organisation of the network within clusters, such as a grid. However, constructing such a grid is costly and requires several rounds of messages exchanged between sensors which outbalance the benefits of the approach. To tackle this drawback, we propose an energy-based cell-head (CH) selection combined with a sink mobility algorithm to minimise energy consumption of sensor nodes and optimise data collection. The proposed approach is termed EASY for energy-aware sink mobility. Experimentation results confirm that our solution offers better performance compared to existing approaches.
Keywords: energy saving; grid-based wireless sensor networks; sink mobility.
International Journal of Ad Hoc and Ubiquitous Computing, 2018 Vol.29 No.1/2, pp.41 - 49
Received: 09 Sep 2017
Accepted: 25 Jan 2018
Published online: 26 Aug 2018 *