An Efficient Energy Harvesting Based Scheduling Technique for Wireless Sensor Networks

The Wireless sensor networks have been deployed in an wide range of applications in environmental monitoring, target tracking, etc. The sensor networks have an major problem concerned with energy efficiency and lifetime of the network. The Energy consumed by the nodes should be less which prevents the earlier death of sensor nodes due to drained energy level. Several techniques have been used to overcome this problem. Energy neutral Clustering algorithm provides an efficient solution by maintaining a neutral state .When the energy in the sensor nodes reaches a particular state it stops it processing and goes to sleep state. The lifetime of the sensor nodes is also an important factor. When the sensor nodes deployed in environments, that are not easily accessed by humans and hence the replacement of battery becomes difficult. In order to overcome this problem, energy harvesting techniques are used. Energy harvesting technique allows the sensor nodes to harvest the energy from the energy harvesting devices present in the network. The neutral state can be maintained when the amount of energy consumed by a sensor should not be greater than the energy harvested by its energy harvesting device at a particular span of time. It increases the lifetime and the efficiency of the network, by overall enhancing the routing and the scheduling techniques in the network. Index terms Data Aggregation, , Energy Efficiency, Energy Harvesting, Energy Neutral Clustering algorithm, Neutral state. ——————————  ——————————