Heuristic Technique Based Sensor Node Localization for the Internet of Things
Ajay Kumar1, V. K. Jain2, P. P. Bhattacharya3
1Ajay Kumar, Asset. Prof. in Department of Computer Science Engineering at SET-Mody University of Science and Technology, Lakshmangarh (Sikar)-Rajasthan. India
2V. K. Jain, Professor and Dean, SET-Mody University of Science and Technology, Lakshmangarh (Sikar) – Rajasthan. India
3P. P. Bhattacharya, Professor and Head, Department of Engineering and Communication Engineering, SET- Mody University of Science and Technology, Lakshmangarh (Sikar) – Rajasthan. India.
Manuscript received on 13 April 2019 | Revised Manuscript received on 19 May 2019 | Manuscript published on 30 May 2019 | PP: 1291-1294 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2164058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Localizing a sensor node is one of the critical issue for wireless sensor networks and hence Internet of Things. For effective use and importance of data, the position, from where the data is originated, is very important for various applications. The number of methods has been developed for identifying the location of a sensor node in the network. One of the widely used methods is Multidimensional scaling. In this paper location of the sensor, the node has been identified with the algorithm using the heuristic technique. The heuristic technique is applied to calculate the distance matrix. To increase the accuracy distance approximation is used. It is mandatory to have an efficient, economic and scalable sensor node position estimation process, the results obtained, experimentally, proves the accuracy and effectiveness of the methods discussed for use in Internet of Things with variable topology and
Index Terms: Heuristic Technique, Internet of Things, Multidimensional Scaling, Wireless Sensor Networks.
Scope of the Article: Sensor Networks, Actuators for Internet of Things