Energy Optimization and Dynamic Adaptive Secure Routing for MANET and Sensor Network in IoT

Abstract

A Mobile Ad-Hoc Sensor Network (MASNET) is made up of several wireless mobile nodes that lack some predetermined architecture. It is independent of any centralized access point or management. Due to these traits, it suffers from significant network overhead and energy-related problems. Several routing methods have been created and developed for reducing routing overhead also increase MASNET's packet delivery ratio. Particularly, the use and expansion of location-aided routing techniques in these networks have been phenomenal. Hence, in this research proposed a novel transverse wave zone-based secure location aided routing technique called TWRect with Dynamic Adaptive Secure Routing that makes forwarding decisions based on the node location information and wave zone selection. This will significantly lower the number of flooding control packets and shrink the search zone. At the end, it will reduce network routing overhead while enhancing security. The zone selection and route discovery processes are repeated with node mobility analysis. The flooding approach, however, has a number of downsides, including data duplication, congestion when security is violated, etc. The availability of the network's energy resources is another significant drawback. The novel ways to address security and path dependability are constrained by a lack of battery and energy-based resources. Therefore, an energy efficient routing method is required for the distribution of information in MASNET. The proposed framework is used for optimizing the energy consumption. The simulation results demonstrate how the TWRDASR zone impacts data transmission and energy reduction efficiency.