Improving Energy Efficiency of SenCar by Energy harvesting in Wireless Sensor Networks : A Survey

Authors(2) :-S. Subadra, Dr. P. Radha

Wireless Sensor Networks (WSN), an element of pervasive computing, are presently being used on a large scale to monitor real-time environmental status. Recently in Wireless sensor networks the new technology implemented is energy harvesting to improve the energy of mobile collector called SenCar. It is used to collect data from designated sensors and balance energy consumption in the network. The optimized algorithm is used to improve the data collection tour length and to achieve maximum network utility by adjusting data rates, link scheduling and flow routing. In this paper we study the various approaches used for energy harvesting of mobile collector and proposed to use multiple mobile collectors by partitioning the network into different regions such that each mobile collector only deals with a portion of the network. Selection of anchors to minimize the hop count and to improve the hot spot of each node in the network is also considered. Finally, we compare the underlying approaches and solutions

Authors and Affiliations

S. Subadra
Assistant Professor, Department of Information Technology, Sri Jayendra Saraswathy Maha Vidyalaya CAS, Coimbatore, Tamilnadu, India
Dr. P. Radha
Assistant Professor, Department of Computer Science, Govt. Arts College, Coimbatore, Tamilnadu, India

Sencar, Energy harvesting, WSN, Energy efficiency

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 22-26
Manuscript Number : CSEIT17269
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Subadra, Dr. P. Radha, "Improving Energy Efficiency of SenCar by Energy harvesting in Wireless Sensor Networks : A Survey ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.22-26, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT17269

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