Work place: IGNOU, SOCIS, New Delhi, India
E-mail: shrimalitarun@gmail.com
Website:
Research Interests: Network Architecture, Network Security, Data Mining, Data Compression, Data Structures and Algorithms
Biography
Tarun Shrimali received his PhD from J R Nagar Rajasthan Vidyapeeth University, Udaipur (Rajasthan), 2009 in Computer Science. He received master degree from the same university. He is currently working as Principal at Sunrise Group of institution, Udaipur. His area of interest is networking, Data analyst, E-governance, Data Mining and warehousing.
By Sanjay Pahuja Tarun Shrimali
DOI: https://doi.org/10.5815/ijmecs.2016.10.06, Pub. Date: 8 Oct. 2016
Wireless sensor networks (WSNs) are large scale integration in large topology deployed with thousands sensor nodes. Nodes sizes are very small, with low cost, low weight, and limited battery, primary storage, processing power. Sensor nodes have wireless communication capabilities with sensor to monitor physical or environmental conditions. This paper study and evaluate performance for localization and target tracking application with proposed hierarchical localization tracking scheme based on hierarchical binary tree structure. The target detected information is stored at multiple sensor nodes (e.g. node, parent node and grandparent node) which deployed using complete binary tree structure to improve fault tolerance. This drastically reduces number of messaging in the network. Performance of proposed scheme and some existing routing scheme is evaluated using NS2. Simulation result proof increased in network lifetime by 25%, target detection probability by 25%, and reduces error rate by 20%, increased energy efficiency by 20%, fault tolerance, and routing efficiency.
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