Distributed edge sensor detection with one- and two-level decisions

A statistical approach to distributed edge sensor detection is proposed for wireless sensor networks. Edge sensor detection is a technique to decide whether a target sensor is an edge sensor and is based on data from its neighboring sensors. It is desirable that the computational complexity be low a...

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Bibliographische Detailangaben
Hauptverfasser:	Pei-Kai Liao, Min-Kuan Chang, Kuo, C.-C.J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Computational complexity Exact sciences and technology Image edge detection Image sensors Information, signal and communications theory Military computing Monitoring Pattern recognition Sensor fusion Sensor phenomena and characterization Sensor systems Services and terminals of telecommunications Signal processing Surveillance Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Transmission and modulation (techniques and equipments) Wireless sensor networks
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Beschreibung
Zusammenfassung:	A statistical approach to distributed edge sensor detection is proposed for wireless sensor networks. Edge sensor detection is a technique to decide whether a target sensor is an edge sensor and is based on data from its neighboring sensors. It is desirable that the computational complexity be low and the amount of data transferred among sensors be small. With some reasonable assumptions and the maximal likelihood technique, we propose both one-level and two-level decision methods to fulfil the above two constraints.
ISSN:	1520-6149 2379-190X
DOI:	10.1109/ICASSP.2004.1326253