Fault tolerant wireless sensor network using case based reasoning with semantic tracking

Authors:
V. Latha;Chandrasekaran Subramaniam;S. Shanmugavel
Affiliations:
Electronics and Communication Engg, ICE, Anna University, Chennai, India;Computer Science and Engg, Rajalakshmi Engineering College, Anna University, Chennai, India;Electronics and Communication Engg., Anna University, Chennai, India
Venue:
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
Year:
2011

Citing 6
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Abstract

The objective of this paper is to propose a fault diagnostic model using case based reasoning technique in a Wireless Sensor Network (WSN) for Wildlife Preservation application. In the case based reasoning, semantic tracking is applied to detect the various faults in the hardware and software modules utilized in the sensors over different zones, network and service levels. The health, location of the animals and the environment conditions of the sanctuary are considered in the analysis and design of animal monitoring application running on the proposed fault tolerant WSN. The main focus of the work is to address the dependability issues of the information over the WSN in different processing levels. The correctness and context of the data is checked using the semantic engine with verification rules. The fault detection in WSN can be improvised using the algorithms proposed in this work. The first part of the algorithm decides the occurrence of fault based on a Fault Ontology for REpetitive Semantic Tracking (FOREST) and the second part using the Weak Inactive Link Data (WILD) method to locate the fault in the corresponding cluster or the device.