An Efficient Technique for Minimizing Localization Errors in Wireless Sensor Networks
Sudha H.Thimmaiah1, Mahadevan.G2

1Sudha H. Thimmaiah*, Research Scholar, Department of Computer Science and Engineering, PRIST Deemed to be University, Thanjavur, Tamil Nadu, India.
2Mahadevan.G, Principal, Annai College of Engineering, Kumbakonam, Tamil Nadu, India. 

Manuscript received on October 17, 2019. | Revised Manuscript received on 26 October, 2019. | Manuscript published on November 10, 2019. | PP: 1812-1815 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4687119119/2019©BEIESP | DOI: 10.35940/ijitee.A4687.119119
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Abstract: Wireless Sensor Networks (WSNs) has become one of the huge research topics and numerous researchers are working on numerous areas encircling WSNs. Wireless sensor networks comprise of low-cost sensors that are deployed in the network for transmission of messages within the network. Though the use of wireless sensor networks has gained an intensive response in the digital environment, there still exists some sorts of issues that need to be improvised. One such problem that affects most of the transmissions in a WSN is localization error. Finding the exact location of a particular sensor in a wireless network is one of the major issues. In this paper, we propose a technique for minimizing the localization error by making use of the Time of Arrival (TOA) technique. The proposed technique is efficiently compared with the existing techniques and the performance analysis is done. The experimental setup was done by making use of Matlab 2018b and the same was used to obtain efficient results. Some of the parameters used for finding the efficiency of the system was the calculation of the distance error between the proposed and the existing technique. The analysis shows the accuracy rate of finding the location of the sensors and also portrays the minimization of localization error in a given WSN.  
Keywords: Network, Wireless, Sensor, Efficiency, Localization Error, ToA
Scope of the Article: Wireless Sensor Networks