Special Issue Article Open Access

A Robust and Effective Detection of Anomaly Location in Wireless Sensor Networks

Abstract

In wireless sensor network localization schemes are used to knowing the location of all sensor nodes. But some localization is subjected to many malicious attacks in the network such as wormhole attack. Since sensors locations are not truthful, there is a need to verify the sensors‟ locations whether it is trustable or not. To detect the abnormal location in wireless sensor networks, more verification schemes are used previously. This paper proposes a technique that performs “Distributed in-region verification”. Distributed In-region verification algorithm intends to verify whether a sensor is inside an application verification region or not. To strengthen the detection accuracy and energy efficiency in the in-region algorithm, distributed verification center is implemented. Since each sensor node communicates with the corresponding verification center, collision is avoided. Through the use of single verification center for each region, energy consumption will be reduced. Therefore the detection accuracy is highly achieved in the network.

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