TY - GEN
T1 - MTT-mobicast
T2 - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
AU - Wang, Yi
AU - Yang, Jun
AU - Yang, Xinyu
AU - Zhang, Deyun
PY - 2008
Y1 - 2008
N2 - In this paper, a novel distributed, energy-efficient WSNs protocol for maneuvering target tracking with special consideration of spatiotemporal constraints is proposed, which is referred to as "Maneuvering Target Tracking Mobicast" (MTT-Mobicast). MTT-Mobicast protocol is a spatiotemporal multicast protocol that distributes messages to the sensor nodes located in special zones that evolve over time in a predictable manner. This protocol requires no prior information about the movement pattern of a target. One of the key components of the protocol is a fully distributed algorithm of zone formation, which is based on the most updated kinematics parameters supported by these collaborated sensors around the target. By using distributed particle filters, the kinematics parameters of the target are updated recursively and hence the function zones evolve over time. Based on the analysis and simulation results, it is shown that the MTT-Mobicast outperforms traditional spatiotemporal protocols in energy efficiency, prediction accuracy, and spatiotemporal guarantee.
AB - In this paper, a novel distributed, energy-efficient WSNs protocol for maneuvering target tracking with special consideration of spatiotemporal constraints is proposed, which is referred to as "Maneuvering Target Tracking Mobicast" (MTT-Mobicast). MTT-Mobicast protocol is a spatiotemporal multicast protocol that distributes messages to the sensor nodes located in special zones that evolve over time in a predictable manner. This protocol requires no prior information about the movement pattern of a target. One of the key components of the protocol is a fully distributed algorithm of zone formation, which is based on the most updated kinematics parameters supported by these collaborated sensors around the target. By using distributed particle filters, the kinematics parameters of the target are updated recursively and hence the function zones evolve over time. Based on the analysis and simulation results, it is shown that the MTT-Mobicast outperforms traditional spatiotemporal protocols in energy efficiency, prediction accuracy, and spatiotemporal guarantee.
UR - https://www.scopus.com/pages/publications/52049100332
U2 - 10.1109/CIT.2008.4594780
DO - 10.1109/CIT.2008.4594780
M3 - 会议稿件
AN - SCOPUS:52049100332
SN - 9781424423583
T3 - Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
SP - 821
EP - 826
BT - Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Y2 - 8 July 2008 through 11 July 2008
ER -
