A Novel Cluster based Scheme for Node Positioning in Indoor Environment
A. Christy Jeba Malar1, S.P.Siddique Ibrahim2, M. Deva Priya3
1A.Christy Jeba Malar, Department of Information Technology, Sri Krishna College of Technology, Coimbatore (Tamil Nadu), India.
2S.P. Siddique Ibrahim, Assistnat Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3M.Deva Priya, Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 79-83 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10160886S19/19©BEIESP | DOI: 10.35940/ijeat.F1016.0886S19
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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: Location estimation in Wireless Sensor Network (WSN) is mandatory to achieve high network efficiency. Identifying the positions of sensors is an uphill task as monitoring nodes are involved in estimation and localization. Clustered Positioning for Indoor Environment (CPIE) is proposed for estimating the position of the sensors using a Cluster Head (CH) based mechanism. The CH estimates the number of neighbor nodes in each floor of the indoor environment. It sends the requests to the cluster members and the positions are estimated based on the Received Signal Strength Indicators (RSSIs) from the members of the cluster. The performance of the proposed scheme is analyzed for both stable and mobile conditions by varying the number of floors. Experimental results show that the propounded scheme offers better network efficiency and reduces delay and localization error.
Keywords: Indoor Positioning, Wireless Sensor Network (WSN), Localization, Cluster, RSSI.
Scope of the Article: Clustering