TY - GEN
T1 - Bounded-distance multi-coverage backbones in wireless sensor networks
AU - Sausen, P. S.
AU - Spohn, M. A.
AU - Lima, A. M.N.
AU - Perkusich, A.
PY - 2007
Y1 - 2007
N2 - Topology control can improve the performance of Wireless Sensor Network (WSN) by allowing only a subset of nodes to be active at any time with guaranteed network coverage. We present the first centralized and distributed solutions for computing Bounded-Distance Multi-Coverage Backbones in WSNs. The solutions are based on the (k, r)-CDS problem from graph theory for computing backbones in which any regular node is covered by at least k backbone members within distance r, offering a variable degree of redundancy and reliability. Applications that require reliable data gathering with bounded-delays are the intended targets for such structures. Given that the centralized solution is unsuitable for WSNs, because of the incurred control overhead, it is used as a lower bound for evaluating the performance of the distributed solution. The distributed solution is source-based in the sense that usually the base-station (or sink) is the focus of attention in a WSN. The two approaches are evaluated through extensive simulations, and it is shown that even though the distributed solution builds larger backbones, it does not incur on much control overhead.
AB - Topology control can improve the performance of Wireless Sensor Network (WSN) by allowing only a subset of nodes to be active at any time with guaranteed network coverage. We present the first centralized and distributed solutions for computing Bounded-Distance Multi-Coverage Backbones in WSNs. The solutions are based on the (k, r)-CDS problem from graph theory for computing backbones in which any regular node is covered by at least k backbone members within distance r, offering a variable degree of redundancy and reliability. Applications that require reliable data gathering with bounded-delays are the intended targets for such structures. Given that the centralized solution is unsuitable for WSNs, because of the incurred control overhead, it is used as a lower bound for evaluating the performance of the distributed solution. The distributed solution is source-based in the sense that usually the base-station (or sink) is the focus of attention in a WSN. The two approaches are evaluated through extensive simulations, and it is shown that even though the distributed solution builds larger backbones, it does not incur on much control overhead.
KW - Backbone
KW - Connected dominating sets
KW - Domination in graphs
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/35248818226
U2 - 10.1145/1244002.1244056
DO - 10.1145/1244002.1244056
M3 - Conference contribution
AN - SCOPUS:35248818226
SN - 1595934804
SN - 9781595934802
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 203
EP - 208
BT - Proceedings of the 2007 ACM Symposium on Applied Computing
PB - Association for Computing Machinery
T2 - 2007 ACM Symposium on Applied Computing
Y2 - 11 March 2007 through 15 March 2007
ER -