Dynamic Clustering Protocol for Data Forwarding in Wireless Sensor Networks

Abstract

Energy being the very key concern area with sensor networks, so the main focus lies in developing a mechanism to increase the lifetime of a sensor network by energy balancing. To achieve energy balancing and maximizing network lifetime we use an idea of clustering and dividing the whole network into different clusters. In this paper we propose a dynamic cluster formation method where clusters are refreshed periodically based on residual energy, distance and cost.Refreshing clustering minimizes workload of any single node and in turn enhances the energy conservation. Sleep and wait methodology is applied to the proposed protocol to enhance the network lifetime by turning the nodes on and off according to their duties. The node that has some data to be transmitted is in on state and after forwarding its data to the cluster head it changes its state to off which saves the energy of entire network. Simulations have been done using MAT lab. Simulation results prove the betterment of our proposed method over the existing Leach protocol.

A New Approach for Big Data Gathering in Dynamic Wireless Sensor Networks

“…Deepali virmni et al proposed a dynamic cluster formation method where clusters are refreshed periodically based on residual energy, distance and cost in [5]. Here distance is considered in order to minimize energy consumption and increase lifetime of the network.…”

Fault Tolerant Clustering Protocol for Data Delivery in Wireless Sensor Networks

“…Reducing the transmission range will reduce the power consumed in transmitting a packet toward the neighbours. The literature [14] DCP (Dynamic clustering Protocol) is an approach for dynamic cluster formation method where clusters are refreshed periodically based on residual energy, distance and cost in this sleep and wait technology is also applied to enhance the network lifetime.…”

“…The major drawback of LEACH [7] is that it does not support dynamic clustering so to overcome this we use DCP [14] to form clusters. We determine optimal paths for each cluster head to forward its data to the base station.…”

“…The proposed FTOCP uses DCP [14] for formation of dynamic clusters. The cluster head behaves as the data aggregating node for each cluster.…”

“…Scalability being another issue of concern as a sensor consists of hundreds or thousands of nodes [6]. In sensor networks these issues are addressed in cluster based architecture particularly in LEACH [7] and DCP [14]. But Leach supports only static cluster formation where cluster head runs out of energy more quickly due to extra responsibility of data aggregation.…”