Energy‐efficient distributed approach for clustering‐based fault detection and diagnosis in image sensor networks. Issue 1 (1st March 2013)

• Record Type: Journal Article
• Authors: Mahapatro, Arunanshu; Khilar, Pabitra Mohan
• Is Part Of: IET wireless sensor systems. Volume 3:Issue 1(2013)
• Page Start: 26
• Page End: 36
• Publication Date: 2013-03-01
• Subjects: CCD image sensors -- communication complexity -- energy conservation -- fault diagnosis -- protocols -- statistical analysis -- wireless channels -- wireless sensor networks; wireless image sensor network -- clustering‐based fault detection -- clustering‐based fault diagnosis -- energy efficient distributed approach -- distributed protocol -- communication channel -- fault rates -- energy complexity -- message complexity -- WISN -- cluster head; Wireless sensor networks -- Periodicals; 681.2
• DOI: 10.1049/iet-wss.2011.0125
• Languages: English
• ISSNs: 2043-6386

Abstract

Abstract : This study proposes an algorithm for the design of a distributed protocol for detecting and diagnosing permanent faults in wireless image sensor networks (WISNs). This work explicitly takes into account the possibility of faults in different sections of the image sensor node and communication channel. The fault diagnosis is achieved by disseminating local decision made at each node. Theoretical analysis and simulation results show that high level (>0.95) of diagnosis accuracy can be achieved for a wide range of fault rates. Correctness and complexity proofs are provided, and they show that the proposed algorithm performs better than the existing protocols from both communication and energy complexity perspective. Analytical study shows that time complexity is O ( n c ) and message complexity O ( n ) for an n ‐node WISN where n c is the number of cluster heads.