TY - GEN
T1 - Reduction algorithm for simplicial complexes
AU - Vergne, A.
AU - Decreusefond, L.
AU - Martins, P.
PY - 2013/9/2
Y1 - 2013/9/2
N2 - In this paper, we aim at reducing power consumption in wireless sensor networks by turning off supernumerary sensors. Random simplicial complexes are tools from algebraic topology which provide an accurate and tractable representation of the topology of wireless sensor networks. Given a simplicial complex, we present an algorithm which reduces the number of its vertices, keeping its homology (i.e. connectivity, coverage) unchanged. We show that the algorithm reaches a Nash equilibrium, moreover we find both a lower and an upper bounds for the number of vertices removed, the complexity of the algorithm, and the maximal order of the resulting complex for the coverage problem. We also give some simulation results for classical cases, especially coverage complexes simulating wireless sensor networks.
AB - In this paper, we aim at reducing power consumption in wireless sensor networks by turning off supernumerary sensors. Random simplicial complexes are tools from algebraic topology which provide an accurate and tractable representation of the topology of wireless sensor networks. Given a simplicial complex, we present an algorithm which reduces the number of its vertices, keeping its homology (i.e. connectivity, coverage) unchanged. We show that the algorithm reaches a Nash equilibrium, moreover we find both a lower and an upper bounds for the number of vertices removed, the complexity of the algorithm, and the maximal order of the resulting complex for the coverage problem. We also give some simulation results for classical cases, especially coverage complexes simulating wireless sensor networks.
U2 - 10.1109/INFCOM.2013.6566818
DO - 10.1109/INFCOM.2013.6566818
M3 - Conference contribution
AN - SCOPUS:84883057233
SN - 9781467359467
T3 - Proceedings - IEEE INFOCOM
SP - 475
EP - 479
BT - 2013 Proceedings IEEE INFOCOM 2013
T2 - 32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013
Y2 - 14 April 2013 through 19 April 2013
ER -