RANDOM WAYPOINT MOBILITY ROUTING ALGORITHM FOR MOBILE SENSOR NETWORKS
Keywords:Mobile Sensor Network, Random Way Point Mobility Routing, Routing Table
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.
Alagu Pushpa, R., Vallimayil, A., and Sarma Dhulipala, V. R., (2011). International Journal of Communication Network and Security. Impact of Mobility Models on Mobile Sensor Networks, 1(1), 102-106. https://doi.org/10.1109/ICECTECH.2011.5941866.
Almesaeed, R., and Jedidi, A. (2021). Dynamic Directional Routing For Mobile Wireless Sensor Networks. Ad Hoc Networks. Sciencedirect, 110/10230. https://doi.org/10.1016/j.adhoc.2020.102301.
Chatterjee, S., Chakraborty, A., Dey, R., Banerjee, H., Pareek, S., Nayak, S., Gautam, A., Saha, H. N., Neyaz, M., and Dokania, M. (2017). A Load Balanced Routing Protocol For Mobile Sensor Network, 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE Publications. https://doi.org/10.1109/IEMECON.2017.8079576.
Hemalatha, S. and Prakash Raj, E. G. D. (2020). Strategic Survey and Analysis of Routing Algorithms for Mobile Sensor Networks. International Journal of Advanced Science and Technology.
Hemalatha, S. and Prakash Raj, E. G. D. (2019). PPGA: Partial-Partitioned Greedy Algorithm for Routing In Mobile Sensor Networks. International Journal of Scientific and Technology.
Hemalatha, S., and Prakash Raj, E. G. D. (2018).Enhanced Greedy Perimeter Forwarding Algorithm for Mobile Sensor Network in Cluster Region. International Journal on Computer Science and Engineering. https://doi.org/10.26438/ijcse/v7i6.115123.
Ma, X., Zhang, X., and Yang, R. (2019). Reliable Energy-Aware Routing Protocol in Delay-Tolerant Mobile Sensor Networks. Wireless Communications and Mobile Computing, 2019, 1-11. https://doi.org/10.1155/2019/5746374.
Murugan, K., and Khan Pathan, A. (2019). A Routing Algorithm For Extending Mobile Sensor Network's Lifetime Using Connectivity and Target Coverage. International Journal of Communication Networks and Information Security (IJCNIS). https://doi.org/10.17762/ijcnis.v11i2.4102.
Sun, Z., Zhao, Guozeng, and Xing, X. (2018). ENCP: A New Energy-Efficient Nonlinear Coverage Control Protocol in Mobile Sensor Networks. EURASIP Journal on Wireless Communications and Networking, 2018(1). https://doi.org/10.1186/s13638-018-1023-7.
Yang, Y., Lee, D.H., Park, M.-S., and In, H. P. (2009). Dynamic Enclose Cell Routing In Mobile Sensor Networks. Dept of Computer Science and Engineering College of Information and Communications Korea University. https://doi.org/10.1109/APSEC.2004.46.
How to Cite
Copyright (c) 2023 S. Hemalatha, Dr. E. George Dharma Prakash Raj
This work is licensed under a Creative Commons Attribution 4.0 International License.