International Journal of Wireless and Microwave Technologies (IJWMT)
IJWMT Vol. 7, No. 5, 8 Sep. 2017
Cover page and Table of Contents: PDF (size: 510KB)
MVGDRA: Modified Virtual Grid based Dynamic Routes Adjustment Scheme for Mobile Sink-based Wireless Sensors Networks
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Author(s)
Index Terms
Energy efficiency, network life time, mobile sink, wireless sensor networks
Abstract
In the wireless sensor network, various sensor nodes are present that are used for the communication, sensing and computing. An external mobile sink is present which move around the grid that is used for the communication with the nodes directly which are present in the network. As we know that for formation of network we need to find the route between all the nodes coming in the network, for this purpose routing is done. Routing is defined as moving of information from source to destination. For efficient network the routing protocol that is used should consume less energy, and less distance. In the MVGDRA routing algorithm is proposed that use the mobile sink approach. The selection of cluster head is done on the basis of the weight values. By doing this cluster head will be selected on the basis of the energy means which node has highest energy appointed as cluster head that increases the stability of the network. And the event driven based strategy is used for the data transfer, the energy will be only released when it is required. The energy will not be released after each round. By this the energy consumption of the system decrease and the life time the network is increased. So this method is considered to be more efficient and better than the traditional methods of routing as the network performance is enhanced and its life time is increased. Simulation results show the comparison between the VGDRA and the MVGDRA.
Cite This Paper
Navpreet Kaur, Ashwani Kumar Narula," MVGDRA: Modified Virtual Grid based Dynamic Routes Adjustment Scheme for Mobile Sink-based Wireless Sensors Networks", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.7, No.5, pp. 40-48, 2017. DOI: 10.5815/ijwmt.2017.05.05
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