A Real Time Cloud Based Energy Efficient Mechanism for Radiation Affected WSN to Increase Network Life Time and Mobility
K.R. Asha1, K. Suresh2
1K.R. Asha, Assistant Professor, Sri Siddhartha Institute of Technology, Tumkur (Karnataka), India.
2Dr. K. Suresh, Principal, SEA College of Engineering and Technology, Bangalore (Karnataka), India.
Manuscript received on 15 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript Published on 24 January 2019 | PP: 339-345 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: Es2078017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to the huge advancement of technology in wireless sensor network, WSN is used in large applications such as security, surveillance, health care, environment monitoring, and object tracking. In these kind of applications sensor nodes are detecting physical phenomena’s like temperature, pressure, and humidity. Detected information’s are finally forwarded to sink node or base station node. In this communication pattern, cooperation of each node in the network enable the hop by hop communication which reduces the energy consumption as well as time delay. Also due to some accidental events such as huge electro-magnetic waves and radiation will effects the sensors. This leads to the failure of certain nodes and that will affects all the nodes communication. Therefore, proposed mechanisms will tackle these kind of accidental events to avoid communication failure and also gives a technique for increasing energy efficiency of nodes to increase the lifetime of network. Data sensed by sensor will be collected, processed and sent through cluster heads to the base station in an efficient way. From the base stations collected data will be upload to cloud for user accessibility using cloud services. Simulation results show better performance concern to energy efficiency and the lifetime of the network.
Keywords: Acoustic Communication, Cloud Computing, Data Reduction, RF Communication, Wireless Sensor Network.
Scope of the Article: Real-Time Information Systems