TY - GEN
T1 - Improving energy consumption in large scale wireless sensor networks with multiple mobile sinks deployment
AU - Slama, Ines
AU - Jouaber, Badii
AU - Zeghlache, Djamal
PY - 2008/12/1
Y1 - 2008/12/1
N2 - In this paper, we consider the multiple sinks placement problem in energy constrained large-scale Wireless Sensor Networks (WSN). First, some fundamental design parameters in WSNs such as nodes deployment, the network architecture, sink velocity and transmission range, are investigated. Each of these parameters is analysed and discussed according to its influence on the energy consumption in a WSN. Second, a simple and efficient approach for the placement of multiple sinks within large-scale WSNs is proposed. The bjective is to determine optimal sinks' positions that maximize the network lifetime by reducing energy consumption related to data transmissions from sensor nodes to different sinks. Balanced graph partitioning techniques are used to split the entire WSN into connected sub-networks. Smaller sub-networks are created, having similar characteristics and where energy consumption can be optimized independently but in the same way. Therefore, different approaches and mechanisms that enhance the network lifetime in small-size WSN can be deployed inside each sub-network. Performance results show that the proposed technique significantly enhances the network lifetime.
AB - In this paper, we consider the multiple sinks placement problem in energy constrained large-scale Wireless Sensor Networks (WSN). First, some fundamental design parameters in WSNs such as nodes deployment, the network architecture, sink velocity and transmission range, are investigated. Each of these parameters is analysed and discussed according to its influence on the energy consumption in a WSN. Second, a simple and efficient approach for the placement of multiple sinks within large-scale WSNs is proposed. The bjective is to determine optimal sinks' positions that maximize the network lifetime by reducing energy consumption related to data transmissions from sensor nodes to different sinks. Balanced graph partitioning techniques are used to split the entire WSN into connected sub-networks. Smaller sub-networks are created, having similar characteristics and where energy consumption can be optimized independently but in the same way. Therefore, different approaches and mechanisms that enhance the network lifetime in small-size WSN can be deployed inside each sub-network. Performance results show that the proposed technique significantly enhances the network lifetime.
KW - Design parameters
KW - Energy efficiency
KW - Graph partitioning
KW - Large-scale wireless sensor networks
KW - Multiple sinks
UR - https://www.scopus.com/pages/publications/58049147551
M3 - Conference contribution
AN - SCOPUS:58049147551
SN - 9789898111623
T3 - WINSYS 2008 - International Conference on Wireless Information Networks and Systems, Proceedings
SP - 29
EP - 37
BT - WINSYS 2008 - International Conference on Wireless Information Networks and Systems, Proceedings
T2 - International Conference on Wireless Information Networks and Systems, WINSYS 2008
Y2 - 26 July 2008 through 29 July 2008
ER -