TY - GEN
T1 - A grid-based tracking mechanism with satisfaction of energy conservation and guaranteed QoS in wireless sensor networks
AU - Lee, Sung Min
AU - Cha, Hojung
PY - 2006
Y1 - 2006
N2 - A power conservation technique is one of the essential solutions for sensor networks, which are for the most part not able to refresh their own power source. A sleep or active time control method is an effective power conserving solution because of its ability, in tracking applications, to turn off the radio of nodes that are not involved in packet transmission. However, most current research neglects the importance of QoS. In this paper, we present a sleep-time control mechanism based on a two-tier grid structure: communication grid and wakeup and sleep grid. The hybrid grid structure allows power conservation as well as preservation of QoS. Additionally, we present a framework for a mobile event tacking system, which consists of three phases: grid construction, surveillance, and tracking. The simulation result shows that the proposed method almost guarantees QoS while conserving a significant amount of energy.
AB - A power conservation technique is one of the essential solutions for sensor networks, which are for the most part not able to refresh their own power source. A sleep or active time control method is an effective power conserving solution because of its ability, in tracking applications, to turn off the radio of nodes that are not involved in packet transmission. However, most current research neglects the importance of QoS. In this paper, we present a sleep-time control mechanism based on a two-tier grid structure: communication grid and wakeup and sleep grid. The hybrid grid structure allows power conservation as well as preservation of QoS. Additionally, we present a framework for a mobile event tacking system, which consists of three phases: grid construction, surveillance, and tracking. The simulation result shows that the proposed method almost guarantees QoS while conserving a significant amount of energy.
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U2 - 10.1007/11919568_29
DO - 10.1007/11919568_29
M3 - Conference contribution
AN - SCOPUS:33845544933
SN - 3540485635
SN - 9783540485636
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 286
EP - 295
BT - Information Networking
PB - Springer Verlag
T2 - International Conference on Information Networking, ICOIN 2006
Y2 - 16 January 2006 through 19 January 2006
ER -