A Novel AEB-AODV Based AADITHYA Cross Layer Design Hibernation Algorithm for Energy Optimization in WSN

Abstract

Wireless Sensor Networks (WSN) has gained significant importance in current scenario because of its ability to monitor as well as understand the physical environment in terms of different parameters like temperature, humidity, pressure etc. There is a plethora of applications in WSN is finding importance ranking from military tracking, surveillance to environmental exploration and wildlife monitoring. The main challenge in WSN is energy efficiency especially when the capacity of battery and availability of energy source is a constraint. To address some of key WSN challenges, a novel routing protocol, a hibernation algorithm (cross layer design) along with the low power hardware design for achieving energy efficiency are proposed here.Because of the fact that WSN has requirement to adapt itself according to the needs of the dynamically changing environment, the quantity of sensor nodes which are part of routing tree cannot be the same and need to adapt itself so that it can precisely observe and forecast the physical surroundings. Initially the routing protocols being used popularly for WSN network layer i.e. AODV, AOMDV, and DSR are compared. The next stage is a proposal for adaptive model for AODV routing protocol for sensor node selection based on residual energy (AEB-AODV) towards improving the efficiency of energy and Quality of Service depending on the mentioned targets of performance. Here, the scheme utilizes fewer sensor nodes at a time along the route to the destination from the source of the event, and place remaining sensor nodes’ transceivers in the sleep mode but microcontroller, sensors and low power transceivers of the nodes are ON. The last module is a combined model capable of achieving improvements in efficiency of energy–adaptive routing model (AEB-AODV) and Hibernation of the sensor nodesi.e. AADITHYA algorithm, which reduces energy consumption, duty cycle to great extent and improved the latency, implemented with low power ARM CORTEX microcontroller and two sets of transceivers, one active power (AP) for data transmission and another very low power (LP) for sending wake up signals and control signals to the hibernating neighbors. Simulation results of AEB-AODV routing protocol and actual test readings of the developed hardware have shown that this method is effective in optimizing the energy usage in the nodes and hence improves the life expectancy of the WSN used for any general application.