NDLI: An Energy Efficient Data Storage Policy for Object Tracking Wireless Sensor Network

Content Provider	IEEE Xplore Digital Library
Author	Shin-Wei Ho Gwo-Jong Yu
Copyright Year	2006
Description	Author affiliation: Graduate Sch. of Math. Sci., Aletheia Univ., Taipei (Shin-Wei Ho; Gwo-Jong Yu)
Abstract	In wireless sensor networks, storage policy of sensed event affects the number of required control messages. If the number of control message can be reduced, the network lifetime can be increased because transmitting unnecessary control message requires extra energy consumption. In this paper, a local storage method with small control overhead is proposed for object tracking application in wireless sensor network. The main idea is to store the detected events in local storage and maintain the relation of the sensed data through a low cost implicit linked list among sensor nodes. When an object moves across the sensing field, detecting sensor can construct a linked list automatically along moving path of the object. The stored event records can be extracted by tracing the linked list from head to tail to get the complete information. When the memory space in a sensor node is full, a link reconstruction mechanism is proposed to distribute the heavy loads of sensor nodes to nearby nodes. Finally, performance analysis and simulation have been conducted to verify that the proposed method can reduce the amount of control messages and increase the network lifetime
Sponsorship	IEEE Comput. Soc
Starting Page	20
Ending Page	25
File Size	538207
Page Count	6
File Format	PDF
ISBN	0769525539
DOI	10.1109/SUTC.2006.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-05
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Energy consumption Costs Event detection Memory Object detection Tail Energy efficiency Magnetic heads Data mining
Content Type	Text
Resource Type	Article

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