Maximizing the network lifetime of clustered-based WSN using probability of residual energy

Abstract

The deployment of Wireless Sensor Network(WSN) must be done with some kind of advanced techniques so that it can mitigate the energy constraints. An existing, clustered-based routing protocol known as Low-Energy Adaptive Clustering Hierarchy (LEACH) was studied, the outcome is an improved algorithm based on LEACH. The performance of these algorithms was studied through simulations using OMNeT++. In the original LEACH, the Cluster Heads selections were based on a distributed algorithm. For the modified algorithm, the improvement was done in the Cluster Head selection process. The selection process takes into account the residual energy of each node and used its probability outcome for the determination of the threshold value for next round. The results concluded that the performance of the modified algorithm is better than the original LEACH, the outcome will result in maximizing network lifetime.

Magnify Network Lifetime in WSN by Reducing Data Aggregation Distance of Weak Nodes

“…In LEACH protocol CH is selected on the basis of initial energy but after few rounds the energy of the nodes become uneven then CH selection process is not much of a use. To overcome that disadvantage, this protocol has introduced the selection of the CH on the basis of node's residual energy [11]. The algorithm has been divided in three phases, first is setup phase, second is steady state phase and third is pre set-up phase.…”

“…Each node receive this value from their respective CHs and each node save this value for the calculation of threshold in the next round which completes one round of the communication [11].…”

“…This helps in stabilizing the network by ensuring that nodes can die almost at same time. Set the probability of CH selection as a function of node's residual energy relative to the aggregate remaining energy [11]. Threshold energy is calculated as…”

“…G is the set of nodes which have not been CH last 1/p opt rounds, E residual is the residual energy of the node and E total is the total energy of the entire network. E total (t) is calculated as [11] …”

“…Our approach in this paper is based on the homogenity. One of the well known approach in homogenity is Low-Energy Adaptive Clustering Hierarchy(LEACH) [10].. To improve the CH selection process in this clustering protocol an approach called Maximizing the Network Lifetime of Cluster-based WSN Using Probability of Residual Energy was introduced [11]. In this paper, we have introduced an approach to improve the network lifetime and stability of this protocol by reducing the data transmission distance of the depleting nodes by enhancing the transmission way of the network.…”