A Distributed Algorithm for Minimum-Weight Spanning Trees
ACM Transactions on Programming Languages and Systems (TOPLAS)
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
Algorithmic aspects of topology control problems for ad hoc networks
Mobile Networks and Applications
Towards optimal sleep scheduling in sensor networks for rare-event detection
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Maximizing network lifetime of broadcasting over wireless stationary ad hoc networks
Mobile Networks and Applications
EURASIP Journal on Wireless Communications and Networking
IEEE Communications Magazine
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Lifetime maximization for multicasting in energy-constrained wireless networks
IEEE Journal on Selected Areas in Communications
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We consider the problem of determining the transmission power assignment that maximizes the lifetime of a data-gathering wireless sensor network with stationary nodes and static transmission power levels. We present a simple and efficient distributed algorithm for this task that works by establishing the minimum power level at which the network stays connected. The algorithm is based on a binary search over the range of feasible transmission power levels and does not require prior knowledge of network topology. We study the performance of the resulting BSpan protocol by network simulations and compare the number of control messages required by BSpan to two other recently proposed methods, the Distributed Min-Max Tree (DMMT) and Maximum Lifetime Spanner (MLS) algorithms. We find that BSpan outperforms both DMMT and MLS significantly.