BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique
Mamidi Kiran Kumar1, V Kamakshi Prasad2

1Mamidi Kiran Kumar *, Dept.of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, India. 
2V Kamakshi Prasad, Dept.of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, India.
Manuscript received on July 17, 2019. | Revised Manuscript received on August 28, 2019. | Manuscript published on August 30, 2019. | PP: 41264-4135 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9281088619/2019©BEIESP | DOI: 10.35940/ijeat.F9281.088619
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Abstract: Anchor based localization techniques are better and cost free alternate solutions against GPS based localization techniques in Wireless Sensor Networks (WSN) applications. Anchor based localization techniques using Zigbee technology in WSN have attracted highly in the recent years. As the technology is growing, customers can easily buy the Zigbee technology based beacon nodes at reasonable price. Anchor based wireless sensor networks are used in the localization process because of their advantages in location tracking applications. Many localization systems depend only on RSS and that is not highly reliable, and not accurate. However, the accuracy and the reliability of the network is rather important when it is used in wireless environments. In this paper, a hybrid technique is proposed, which uses not only the RSS as distance estimation parameter, but also the AoA as another angular estimation parameter to improve the localization accuracy. The proposed localization technique uses both the dynamic vectors based localization method, and the bilateration based localization methods to get the target node’s coordinates with good accuracy. The main objective of this research work is to get the accurate location information of the target nodes by using double anchor nodes and simple mathematical computations. The proposed method is simulated in MATLAB and its performance is better than the existing localization techniques. 
Keywords: AoA, GPS, RSS, RSSI, WSN, Zigbee.