A Review on Proposed Implementation of VGDRA and its Comparative Analysis.

Recently, a virtual Grid-based dynamic routes adjustment scheme for mobile sink-based wireless sensor networks is introduced. This paper presents the proposed implementation of VGDRA and its comparative analysis, in which we are discussing the approach of efficient data delivery using communication of distance priority i.e. avoiding straight line communication which was used in previous VGDRA scheme. While maintaining nearly optimal routes to mobile sink’s latest location, our scheme aims to minimize the routes reconstruction cost of sensor nodes. In this approach energy model for reducing energy consumption of nodes is used, which will improves lifetime and also reduce cost consumption. DOI: 10.17762/ijritcc2321-8169.150614

Enhanced VGDRA for Dynamic WSN

Sensor Nodes are fundamental blocks of Wireless Sensor Networks. The focus of researchers is still on reducing the energy dissipation by the sensor nodes over time. Sensor nodes once deployed have a fixed amount of energy available to them. In order to use the energy efficiently the sensor nodes are grouped together based on the tasks performed by them. These groups of sensor nodes are known as clusters. Each cluster is headed by a cluster head connecting the cluster with the base station. Energy consumption is directly proportional to the distance from the base station. The concept of network lifetime is closely related to the energy consumption and area coverage in wireless sensor network. The main aim of the proposed technique is to select cluster heads in such a way that they extend the network lifetime and increase throughput of the network. The efficiency of the proposed cluster head selection technique is that it covers energy consumption and routes selection for data delivery from sensor node to the base station. In this paper an Enhanced Virtual Grid-based Dynamic Routes Adjustment Scheme is proposed presenting a set of rules for the selection of cluster heads in such a way that the energy consumption by the cluster heads is balanced throughout the network and it does not get over exploited