To evaluate the performance of the proposed algorithm we simulate it in the NS2 simulator. Our experimental results show that proposed solution provides high quality location monitoring services for end users and guarantees the location privacy of the monitored persons. | ISSN:2249-5789 Irrinki Mohana Krishna et al , International Journal of Computer Science & Communication Networks,Vol 2(5), 623-627 QOS Aware Location Anonymization Mechanism for Wireless Sensor Networks Irrinki Mohana Krishna1, Kothapalli Ramesh2 *(, Department of CSE, Kakinada Institute of Engineering & Technology, Andhra Pradesh, India) *(Assistant professor, Department of CSE, Kakinada Institute of Engineering & Technology, Andhra Pradesh, India) Abstract To provide privacy in the location monitoring system in wireless sensor networks, in this paper we propose a frame work based on the location anonymization algorithms such as Resource and Location aware algorithms to provide efficient location monitoring system users. These algorithms are based on the K-anonymity privacy concept. The goal of resource aware algorithm is to minimize communication cost, and quality-aware algorithm increases the efficiency of the aggregate locations by decreasing the size of monitoring area. A spatial histogram method is used to measure the distribution of the monitored persons based on aggregate location information and the estimated distribution is used to provide location monitoring services through answering range queries. To evaluate the performance of the proposed algorithm we simulate it in the NS2 simulator. Our experimental results show that proposed solution provides high quality location monitoring services for end users and guarantees the location privacy of the monitored persons. Keywords: Anonymization, Cloaked area, Sensor node, WSN, NS2. 1. Introduction Now a days the world is expected to be offering numerous opportunities both to industry and end users. In this situation, man is completely depend upon the technology to perform his works, everyday objects will be fitted with computational and sensing capabilities. To achieve the circumstances we need to face many challenges. Among them we deem critical the ability to integrate different .
