TY - GEN
T1 - Multiple-objective metric for placing multiple base stations in wireless sensor networks
AU - Kim, Soo
AU - Ko, Jeong Gil
AU - Yoon, Jongwon
AU - Lee, Heejo
PY - 2007
Y1 - 2007
N2 - The placement of base stations in wireless sensor networks affects the coverage of sensor nodes, the tolerance against faults or attacks, the energy consumption and the congestion from communication. However, previous studies mostly focus on the placement of base stations to improve a partial property, not considering all of them. In this paper we propose MultipleObjective Metric (MOM), which reflects four different metrics for base station placement in wireless sensor networks. First, the ratio of sensor nodes which can communicate with a base station via either single-hop or multi-hop represents the coverage of sensor nodes. Second, the average ratio of sensor nodes after the failure of base stations represents the fault tolerance of a network. Third, the average distance between sensor nodes and their nearest base station represents the energy consumption of a network. Fourth, the standard deviation of the degree of base stations represents the average delay of a network due to congestion. We show that placing multiple base stations using our proposed MOM can fairly increase various properties of wireless sensor networks.
AB - The placement of base stations in wireless sensor networks affects the coverage of sensor nodes, the tolerance against faults or attacks, the energy consumption and the congestion from communication. However, previous studies mostly focus on the placement of base stations to improve a partial property, not considering all of them. In this paper we propose MultipleObjective Metric (MOM), which reflects four different metrics for base station placement in wireless sensor networks. First, the ratio of sensor nodes which can communicate with a base station via either single-hop or multi-hop represents the coverage of sensor nodes. Second, the average ratio of sensor nodes after the failure of base stations represents the fault tolerance of a network. Third, the average distance between sensor nodes and their nearest base station represents the energy consumption of a network. Fourth, the standard deviation of the degree of base stations represents the average delay of a network due to congestion. We show that placing multiple base stations using our proposed MOM can fairly increase various properties of wireless sensor networks.
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U2 - 10.1109/ISWPC.2007.342679
DO - 10.1109/ISWPC.2007.342679
M3 - Conference contribution
AN - SCOPUS:34548128041
SN - 1424405238
SN - 9781424405237
T3 - 2007 2nd International Symposium on Wireless Pervasive Computing
SP - 627
EP - 631
BT - 2007 2nd International Symposium on Wireless Pervasive Computing
T2 - 2007 2nd International Symposium on Wireless Pervasive Computing
Y2 - 5 February 2007 through 7 February 2007
ER -