TY - GEN
T1 - A topology control algorithm with good spanner properties for wireless sensor networks
AU - Ababneh, Nedal
AU - Viglas, Anastasios
AU - Selvakennedy, S.
AU - Boukhatem, Nadia
PY - 2010/8/9
Y1 - 2010/8/9
N2 - The main design challenge for wireless sensor network solutions is energy efficiency to prolong the network operable lifetime. Since most energy is spent for radio communications, an effective approach for energy conservation is scheduling sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. Assuming node position information is unavailable we propose an algorithm to construct a sparse spanner network topology for these networks. It uses two-hop neighborhood information to select a subset of nodes to be active among all nodes in the neighborhood. Each node in the network selects its own set of active neighbors from among its one-hop neighbors. This set is determined such that it covers all two-hop neighbors. Our proposed algorithm is proved to achieve several desirable properties on both Euclidean and general weighted graphs: (1) the resulting graph is symmetric and connected; (2) the resulting graph also exhibits good spanner properties for both distance/energy and hops; (3) it is constructed locally in a fully distributed fashion; (4) we prove that on the average-case unit disk graphs, the resulting topology features the bounded degree property; (5) finally, the computation cost of our algorithm is at most 0 (n3), and the communication cost is bounded by0 (n2).
AB - The main design challenge for wireless sensor network solutions is energy efficiency to prolong the network operable lifetime. Since most energy is spent for radio communications, an effective approach for energy conservation is scheduling sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. Assuming node position information is unavailable we propose an algorithm to construct a sparse spanner network topology for these networks. It uses two-hop neighborhood information to select a subset of nodes to be active among all nodes in the neighborhood. Each node in the network selects its own set of active neighbors from among its one-hop neighbors. This set is determined such that it covers all two-hop neighbors. Our proposed algorithm is proved to achieve several desirable properties on both Euclidean and general weighted graphs: (1) the resulting graph is symmetric and connected; (2) the resulting graph also exhibits good spanner properties for both distance/energy and hops; (3) it is constructed locally in a fully distributed fashion; (4) we prove that on the average-case unit disk graphs, the resulting topology features the bounded degree property; (5) finally, the computation cost of our algorithm is at most 0 (n3), and the communication cost is bounded by0 (n2).
KW - Connectivity
KW - Spanner.
KW - Topology control
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/77955221296
U2 - 10.1109/CNSR.2010.37
DO - 10.1109/CNSR.2010.37
M3 - Conference contribution
AN - SCOPUS:77955221296
SN - 9780769540412
T3 - CNSR 2010 - Proceedings of the 8th Annual Conference on Communication Networks and Services Research
SP - 179
EP - 186
BT - CNSR 2010 - Proceedings of the 8th Annual Conference on Communication Networks and Services Research
T2 - 8th Annual Conference on Communication Networks and Services Research, CNSR 2010
Y2 - 11 May 2010 through 14 May 2010
ER -