NDLI: A Cluster-Based Model for Object Detecting with Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Xiangyang Jin Dayu Zheng Guangbin Yu
Copyright Year	2007
Description	Author affiliation: Harbin Univ. of Commerce, Harbin (Xiangyang Jin; Dayu Zheng)
Abstract	A system model for wireless sensor networks is presented for efficiently realizing objective detecting. By self-organizing mechanism based on the maximum number of neighboring nodes, a data-gathering algorithm is proposed that partitions network nodes deployed in the detected region into several clusters for the fusion of the sensed objective data. Each cluster consists of a head node and several member nodes, taking responsibility for the fusion and transmitting to base station (BS) of sensed data through multihop communication and being responsible for sensing data respectively. In the process of data gathering, the energy efficiency-aware mechanism insure each node stand for one of four conditions including sleep, passive, test, and active, which are determined by the neighbor node number threshold (NT) and the average data loss rate (DL). Simulations prove that the proposed scheme is valid through put ratio, mean time delay, and packet loss ratio.
Starting Page	763
Ending Page	767
File Size	275398
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Base stations Time division multiple access Head Clustering algorithms Object detection Access protocols Spread spectrum communication Sensor systems Energy efficiency
Content Type	Text
Resource Type	Article

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