Scan and Z-Curve Trajectory for Mobile Anchor in Localization of Wireless Sensor Network
C Bala Subramanian1, S P Balakannan2
1C Bala Subramanian1, Department of Information Technology, Kalasalingam Academy of Research and Education, Viruthunagar Dt., Tamil Nadu. India.
2S P Balakannan2, Department of Information Technology, Kalasalingam Academy of Research and Education, Viruthunagar Dt., Tamil Nadu. India.
Manuscript received on 04 August 2019. | Revised Manuscript received on 09 August 2019. | Manuscript published on 30 September 2019. | PP: 8057-8061 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6430098319/2019©BEIESP | DOI: 10.35940/ijrte.C6430.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In the recent decades, Wireless Sensor Networks has become an inevitable and dependable research area in the field of communication. Sensor Networks is an apt application for the complicated and instant communication fields like the surveillance in the military services, monitoring of medical analysis and research, detecting forest fire break outs, and detection of acoustics. For an effective application of sensor networks, the research issue shall be laid on the path planning. By path planning it is meant the path through which the mobile beacon should travel without any interruption by enhancing the accuracy in localization process. Of late Global Positioning System (GPS) has become a reliable means for its precision in sensor localization. However, GPS does not provide cost-efficiency or energy-efficiency. As a result, single GPS could be positioned along the travel path. To optimize this constraint, in this paper, an attempt is made to derive the performances of two path planning techniques namely Z-curve and SCAN. It is known that in sensor localizing and for broadcasting of data, the mobile beacon is determined to travel in both directions, viz forward and backward. Comparison is made between the Z-curve trajectory positioned with mobile beacon and SCAN trajectory affixed with mobile beacon having a path planning scheme. The comparison results showed that Z-curve method yielded better performance in terms of high precision and short duration for localization. Further, Z-curve produced only minimum localization error.
Keywords: Localization, Beacon Node, SCAN, Z-Curve, Trajectory Etc.
Scope of the Article: Mobile Adhoc Network