Swarm energy efficient power efficient gathering in sensor information systems protocol in wireless sensor networks

Abstract

Wireless sensor network (WSN) is a network, which has more numbers of sensors that are small in nature and are self organised. The inbuilt battery system is provided in the sensor nodes through which the nodes can communicate and do good operations among the other nodes available in the network. Lifetime is the most essential parameter which needs to be maximised for the WSN. This measure is more important for conservation of energy, for adequate and efficient performance of sensor networks. This paper proposes a swarm energy efficient power efficient gathering in sensor information systems (PEGASIS) (SEE-PEG) based energy optimization algorithm for WSN in which clustering and clustering head selection are done by using modified particle swarm optimization (MPSO) algorithm with respect to minimizing the consumption of power in WSN. The parameters evaluated for the proposed method is compared with existing technique like energy efficient PEGASIS without optimization. The simulation results are obtained using matlab tool.

Load Balanced Clustering in Wireless Sensor Networks Using Grey Wolf Optimization

“…Where S represents some kind of analytical function and j some sort of imaginary constant. Equation (10) describes the emperor penguins' two-dimensional habitat. The emperor penguin has a random walk pattern that may be represented graphically as the centre of an L-shaped polygon area with increased best fitness under a reiterative method.…”