TY - GEN
T1 - Balance-based energy-efficient communication protocols for wireless sensor networks
AU - Wang, Yu
AU - Wu, Hongyi
AU - Nelavelli, Ravi
AU - Tzeng, Nian Feng
PY - 2006
Y1 - 2006
N2 - Energy efficiency is a critical design issue in wireless sensor networks, where each sensor node relies on its limited battery power for data acquisition, processing, transmission, and reception. In this paper, we propose several energy-efficient communication schemes based on power control and load balancing, aiming at even distribution of the residual energy of the sensors and thus prolonging the lifetime of overall wireless sensor networks. More specifically, an Integer Linear Programming (ILP) algorithm and a Distributed Energy Efficient Routing (DEER) protocol are proposed for time-driven sensor networks. A Residual Energy-based Traffic Splitting (RETS) protocol is introduced for event-driven sensor networks. We have carried out extensive simulations to evaluate the proposed protocols. Our simulation results show that most heuristic approaches yield network lifetimes far smaller than the upper bound obtained from the ILP algorithm. The proposed DEER and RETS approaches can effectively distribute energy consumption evenly among the sensor nodes to prolong the network lifetime by up to 200% or more, when compared with other approaches in the literature.
AB - Energy efficiency is a critical design issue in wireless sensor networks, where each sensor node relies on its limited battery power for data acquisition, processing, transmission, and reception. In this paper, we propose several energy-efficient communication schemes based on power control and load balancing, aiming at even distribution of the residual energy of the sensors and thus prolonging the lifetime of overall wireless sensor networks. More specifically, an Integer Linear Programming (ILP) algorithm and a Distributed Energy Efficient Routing (DEER) protocol are proposed for time-driven sensor networks. A Residual Energy-based Traffic Splitting (RETS) protocol is introduced for event-driven sensor networks. We have carried out extensive simulations to evaluate the proposed protocols. Our simulation results show that most heuristic approaches yield network lifetimes far smaller than the upper bound obtained from the ILP algorithm. The proposed DEER and RETS approaches can effectively distribute energy consumption evenly among the sensor nodes to prolong the network lifetime by up to 200% or more, when compared with other approaches in the literature.
UR - https://www.scopus.com/pages/publications/44949259914
UR - https://www.scopus.com/pages/publications/44949259914#tab=citedBy
U2 - 10.1109/ICDCSW.2006.26
DO - 10.1109/ICDCSW.2006.26
M3 - Conference contribution
AN - SCOPUS:44949259914
SN - 0769525415
SN - 9780769525419
T3 - Proceedings - International Conference on Distributed Computing Systems
BT - 26th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS 2006
T2 - 26th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS 2006
Y2 - 4 July 2006 through 7 July 2006
ER -