Enhancing The Robustness And Security Of Localization Schemes Through Effective Location Verification In Wireless Sensor Networks

In addition, we perform a security analysis on the proposed scheme to assess its robustness to various attacks that may hinder the protocol operation. Our results show that a high coverage could be achieved using a relatively small number of verifiers. Moreover, we demonstrate that the proposed protocol is robust against location spoofing attacks. Then, we study how to schedule the verification service, and propose a scheduling scheme based on random access. Results show a high service throughput while maintaining a reasonable response delay its performance is better than TDMA-like clustering-based schemes when the interference between clusters is taken into account. We then turn our attention to study the problem of the impact of localization error on the performance of location verification. We examine how our proposed CORVA protocol with respect to how the verification probability varies with error parameters. We also present an abstract model to study the problem in a more general setting. Based on the proposed model, we analyze four combinations of localization and location verification schemes. Our study indicates that an effective verification protocol must have a built-in mechanism to handle effectively the localization error present in most practical localization schemes. Finally, we focus on exploiting the location verification as a feedback mechanism to improve the localization accuracy. We propose several novel location verification feedback (LV-FEED) algorithms to improve the localization accuracy. Analysis of these algorithms shows that a significant improvement in localization accuracy can be accomplished in a few iterations of executing the location verification feedback schemes.