TY - GEN
T1 - A novel mobility management scheme for target tracking in cluster-based sensor networks
AU - Wang, Zhibo
AU - Lou, Wei
AU - Wang, Zhi
AU - Ma, Junchao
AU - Chen, Honglong
PY - 2010/8/13
Y1 - 2010/8/13
N2 - Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking in large scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers the boundary problem when the target moves across or along the boundary among clusters. In this paper, we propose a novel scheme, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. To overcome the boundary problem, when the target moves close to the boundary among clusters, a dynamic cluster will be constructed for the management of target tracking. As the target moves, static clusters and on-demand dynamic clusters alternately manage the tracking task. Simulation results show that the proposed scheme performs better in tracking the moving target when compared with other typical target tracking protocols.
AB - Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking in large scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers the boundary problem when the target moves across or along the boundary among clusters. In this paper, we propose a novel scheme, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. To overcome the boundary problem, when the target moves close to the boundary among clusters, a dynamic cluster will be constructed for the management of target tracking. As the target moves, static clusters and on-demand dynamic clusters alternately manage the tracking task. Simulation results show that the proposed scheme performs better in tracking the moving target when compared with other typical target tracking protocols.
KW - boundary problem
KW - mobility management
KW - target tracking
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=77955375924&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13651-1_13
DO - 10.1007/978-3-642-13651-1_13
M3 - Conference article published in proceeding or book
SN - 3642136508
SN - 9783642136504
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 172
EP - 186
BT - Distributed Computing in Sensor Systems - 6th IEEE International Conference, DCOSS 2010, Proceedings
T2 - 6th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2010
Y2 - 21 June 2010 through 23 June 2010
ER -