Energy efficient design on MANET IOT routing using deepsense algorithm

Abstract

The Mobile Adhoc Network (MANET) generally represents a predefined topology with high-mobility sensor nodes moving in a random motion across the cross-section area opts for optimal communication from the data collection node to the sink node with proper dynamic communication links. The routing algorithm plays a major role in maintaining the efficacy of MANETs and conventional methods operates on disabling the problem of congestion and network faults by proper selection of transmission paths for better delivery of data packets with high packet delivery ratio. However, these methods undergo high level of overhead formation due to control and packet overheads prior sending the data packets and this prominently affects the efficiency of routing. The advancement in high-speed data acquisitions using Internet of Things (IoT) allows optimal data collection based on an interaction with the environment. It is further allowed to get interfaced with other type network like MANETs for data transmission. Interfacing IoT with MANETs forms a new network topology and the design should composed of high scalability and flexibility with its optimal deployment cost. newline