Outdoor Localization System using RSSI Measurement of Wireless Sensor Network
Oguejiofor O.S.1, Okorogu V.N.2, Adewale Abe3, Osuesu B.O4
1Oguejiofor O.S, Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka (Anambra), Nigeria.
2Okorogu V.N, Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka (Anambra), Nigeria.
3Adewale Abe, Department of Electrical and Electronics Engineering, Ekiti State University, Ekiti (Ekiti), Nigeria.
4Osuesu B.O, Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka (Anambra), Nigeria.
Manuscript received on 09 January 2013 | Revised Manuscript received on 18 January 2013 | Manuscript Published on 30 January 2013 | PP: 1-6 | Volume-2 Issue-2, January 2013 | Retrieval Number: A0359112112 /2013©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: This paper present a system that utilizes RSSI based trilateration approach to locate the position of blind nodes (nodes that are not aware of there positioning in the network) amongst other nodes in the network. The system automatically estimates the distance between sensor nodes by measuring the RSSI (received signal strength indicator) at an appropriate number of sensor nodes. Through experiments, we clarified the validity of our data collection and position estimation techniques. The results show that when the anchor nodes were increased from three to four, the localization error decreases from 0.74m to 0.56m.
Keywords: localization, nodes, Trilateration, RSSI
Scope of the Article: Wireless Sensor Network