TY - GEN
T1 - Dual prediction-based reporting for object tracking sensor networks
AU - Xu, Yingqi
AU - Winter, Julian
AU - Lee, Wang-chien
PY - 2004
Y1 - 2004
N2 - As one of the wireless sensor network killer applications, object tracking sensor networks (OTSNs) disclose many opportunities for energy-aware system design and implementations. In this paper, we investigate prediction-based approaches for performing energy efficient reporting in OTSNs. We propose a dual prediction-based reporting mechanism (called DPR), in which both sensor nodes and the base station predict the future movements of the mobile objects. Transmissions of sensor readings are avoided as long as the predictions are consistent with the real object movements. DPR achieves energy efficiency by intelligently trading off multi-hop/long-range transmissions of sensor readings between sensor nodes and the base station with one-hop/short-range communications of object movement history among neighbor sensor nodes. We explore the impact of several system parameters and moving behavior of tracked objects on DPR performance, and also study two major components of DPR: prediction models and location models through simulations. Our experimental results show that DPR is able to achieve considerable energy savings under various conditions and out-performs existing reporting mechanisms.
AB - As one of the wireless sensor network killer applications, object tracking sensor networks (OTSNs) disclose many opportunities for energy-aware system design and implementations. In this paper, we investigate prediction-based approaches for performing energy efficient reporting in OTSNs. We propose a dual prediction-based reporting mechanism (called DPR), in which both sensor nodes and the base station predict the future movements of the mobile objects. Transmissions of sensor readings are avoided as long as the predictions are consistent with the real object movements. DPR achieves energy efficiency by intelligently trading off multi-hop/long-range transmissions of sensor readings between sensor nodes and the base station with one-hop/short-range communications of object movement history among neighbor sensor nodes. We explore the impact of several system parameters and moving behavior of tracked objects on DPR performance, and also study two major components of DPR: prediction models and location models through simulations. Our experimental results show that DPR is able to achieve considerable energy savings under various conditions and out-performs existing reporting mechanisms.
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U2 - 10.1016/B0-12-227620-5/00034-3
DO - 10.1016/B0-12-227620-5/00034-3
M3 - Conference contribution
AN - SCOPUS:13244264827
SN - 0769522084
SN - 9780769522081
T3 - Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
SP - 154
EP - 163
BT - Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems
T2 - Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Y2 - 22 August 2004 through 26 August 2004
ER -