Original Article ISSN (Online): 2456-8651 International Journal of Engineering Science Technologies January-February 2023 7(1), 1–16 How to cite this article (APA): Hemalatha, S., and Prakash Raj, E. G. D. (2023). Random Waypoint Mobility Routing Algorithm for Mobile Sensor Networks. International Journal of Engineering Science Technologies, 7(1), 1-16. doi: 10.29121/IJOEST.v7.i1.2023.340 1 RANDOM WAYPOINT MOBILITY ROUTING ALGORITHM FOR MOBILE SENSOR NETWORKS S. Hemalatha 1 , Dr. E. George Dharma Prakash Raj 2 1 Programmer, IT Support, Bishop Heber College, Trichirapalli, Tamil Nadu, India 2 Associate Professor, School of Computer Science, Engineering and Applications Bharathidasan University, Tiruchirappalli, Tamil Nadu, India ABSTRACT Mobile Sensor Network an emerging trend in recent network platform. Random waypoint mobility routing proposed on virtual infrastructure based mobile sensor network. Routing is highly challenging task in mobile sensor network, in which the random waypoint model used to ascertain through put and energy depletion. Sensor network classified into multiple regions. Scheduled time slot is assigned for data transmission in between source to sink. Routing table is periodically updated with its neighborhood information. In order to discovers sink node random waypoint mobility routing algorithm checks either clockwise or anti clockwise in the region to find an optimal route for reliable data transmission. In comparison to other cutting-edge cluster- based routing protocols, the effectiveness of the suggested technique assessed using the essential network characteristics. In addition proposed algorithm reduces normalized routing overhead and reselection of region head by varying the node density in the network. Received 02 December 2022 Accepted 01 January 2023 Published 18 January 2023 Corresponding Author S. Hemalatha, hemalathasainidith@gmail.com DOI 10.29121/IJOEST.v7.i1.2023.340 Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Copyright: © 2023 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. With the license CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author. Keywords: Mobile Sensor Network, Random Way Point Mobility Routing, Routing Table 1. INTRODUCTION Mobile sensor dynamically self-configure and self – organized network. Self- configured network to identify the neighbouring node is highly challenging. The cluster of movable sensors grouped to form a cluster region. Periodically routing table is updated because Sensor nodes are capable of changing their locations from time to time. In general, mobility can be applied neither nor to all the nodes. A node can be either active or passive. In the case of Active nodes, capable of changing its locations based on the real-time scenario. On the other hand, while in