3-D Localization Performance with standard deviations

Abstract: The major characteristic of wireless sensor network is its dynamic formation over the varying topologies. Applications of wireless sensor network vary from defense operations to rescue operations and also extend to various environment monitoring and security surveillance applications. The use of wireless sensor networks in time critical applications has led to various research works which are independent of RF based algorithms. Similarly the RB based algorithms generate high error in distance measurements and hence are in-accurate when used alone. An algorithm that uses features of both RF and RB algorithms can efficiently solve the issue of location accuracy of sensor nodes in 3-D space. The proposed algorithm makes use of RF and RB based algorithms to successfully overcome the issue of location accuracy in noisy environment. Scalability of the network is considered for testing the accuracy of the proposed method. Results prove that that the performance of the algorithm increases with increase in the number of beacon nodes. The proposed algorithm has better results as compared to the other methods of distance measurement in noisy environment. The ease of changing the granularity of the areas estimated makes the proposed algorithm far more flexible and better.

Keywords: Wireless Sensor Network(WSN),Localization,Rf(Range free) & Rb(Range base).