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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2015(Vol.10, Issue:11)
Article Information:

MCL-A Strategy for Estimating Node Transmission Area in Wireless Underground Networks

P. Rama and G. Meera Gandhi
Corresponding Author:  P. Rama 
Submitted: January ‎23, ‎2015
Accepted: March ‎20, ‎2015
Published: August 15, 2015
Abstract:
Wireless Sensor Networks are designed to detect underground abnormal conditions. Many protocols use distance between the nodes as one of the criteria for multi-hop communication in the network. Node Transmission Area (NTA) helps in predicting the location of the nodes and the distance between the nodes in many power optimization protocols. In this study, Multi-hop Communication with Localization (MCL), a strategy to localize and route information to nodes present in such areas by determining angles and distances of consecutive nodes hop by hop towards the Base Station is proposed. Initially there is a group of nodes deployed in the underground areas all of which bound to a Sink that is further connected to the Base Station. It is possible to locate all the nodes through GPS which can be used as a reference in the worst case scenario by the Base Station. The Sink node has a NTA within which a node can be directly recognized by the Sink node otherwise it finds the target node through the intermediate nodes. In this case, it can be concluded that MCL outperforms DV-hop in time and distance measurement by performing of higher throughput by taking lesser time for data transmission for locating the target node. Simulation analysis is performed in the network simulator to verify the computational method proposed.

Key words:  Base station, localization, multi-hop communication, node transmission area, underground, wireless sensor networks,
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Cite this Reference:
P. Rama and G. Meera Gandhi, . MCL-A Strategy for Estimating Node Transmission Area in Wireless Underground Networks. Research Journal of Applied Sciences, Engineering and Technology, (11): 1303-1310.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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