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Paper Title
Power Minimization through Network Coding in WSN
  Jogeswar Tripathy,  Dharmendra Biswal,  Abhilipsa Priyadarshini

Wireless sensor networks have been attracting a great attention due to their wide range of potential applications. However, due to various limitations arising from their inexpensive nature, limited size, weight and ad hoc method of deployment, the power consumption is one of the major constraints in sensor networks. Moreover, it is well known that packet communication dominates the power consumption in wireless sensor network. Therefore, it is very desirable to reduce the amount of packet transmission as much as possible. Thus, recently researchers have been emphasizing on how wireless sensor networks can get benefits from network coding. Network coding can achieve this by improving network throughput. This paper studies network coding as power minimization technique, which is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. Thus network coding reduces the power consumption by minimizing the number of transmissions required to communicate a given amount of information across the network. This paper explains what is network coding and the benefits of network coding. Evaluation results indicate that the proposed solution is 35% more energy efficient than no-network coding solution while still meeting required lifetime constraints.

Keywords- Wireless sensor network, network coding, power minimization.
Publication Details
Unique Identification Number - IJEDR1702151
Page Number(s) - 901-904
Pubished in - Volume 5 | Issue 2 | May 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Jogeswar Tripathy,  Dharmendra Biswal,  Abhilipsa Priyadarshini,   "Power Minimization through Network Coding in WSN", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.901-904, May 2017, Available at :http://www.ijedr.org/papers/IJEDR1702151.pdf
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