Research Article
Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks
@ARTICLE{10.4108/eai.18-5-2016.151249, author={Rivo S. A. Randriatsiferana and Herimpitia T. C. Antilahy and Frederic Alicalapa and Richard Lorion}, title={Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks}, journal={EAI Endorsed Transactions on Future Internet}, volume={3}, number={8}, publisher={EAI}, journal_a={UE}, year={2016}, month={5}, keywords={binary greedy forwarding, cluster-based, energy-balance, network lifetime, self-organization, wireless sensor}, doi={10.4108/eai.18-5-2016.151249} }- Rivo S. A. Randriatsiferana
Herimpitia T. C. Antilahy
Frederic Alicalapa
Richard Lorion
Year: 2016
Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks
UE
EAI
DOI: 10.4108/eai.18-5-2016.151249
Abstract
The efficiency of wireless sensor network is highly based on the algorithm complexity of the communication protocol which must minimize the energy dissipated by the sensor nodes. In order to pursue energy consumption minimization, this paper presents Weighted Route Selection (WeRoS) in Cluster-Based method, which uses multihop communication for data forwarding from cluster-head (CH) to the base station as a unique path. WeRoS takes also into account the remaining energy of a node and its coefficient of variation during CHs selection process. A novel-scheduling algorithm is also proposed, in which the CHs can selforganize themselves during the data transmission phase. This algorithm is executed in the cluster formation phase, in order to avoid another phase of route discovery and to conserve energy, while considering the node memory constraint. Complexity analysis and simulation results show that WeRoS can efficiently balance the energy consumption and extends the network lifetime.
Copyright © 2016 Rivo S.A. Randriatsiferana et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
