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Navaz, K.
- Distributed Load Balancing Algorithm for Wireless Sensor Network
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Authors
Affiliations
1 Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, IN
2 Department of Computer Science and Engineering, Universal College of Engineering and Technology, Vallioor, IN
3 Department of Computer Science, The Madurai Diraviyam Thayumanavar Hindu College, IN
1 Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, IN
2 Department of Computer Science and Engineering, Universal College of Engineering and Technology, Vallioor, IN
3 Department of Computer Science, The Madurai Diraviyam Thayumanavar Hindu College, IN
Source
ICTACT Journal on Communication Technology, Vol 9, No 4 (2018), Pagination: 1908-1912Abstract
A Wireless Sensor Network (WSN) comprises of spatially scattered autonomous sensors to screen physical or natural conditions and to amiably go their information through the system to a Base Station. Grouping is a basic assignment in Wireless Sensor Networks for vitality effectiveness and system quality. Grouping through Central Processing Unit in remote sensor systems is outstanding and being used for quite a while. In this paper, we propose a few procedures that balance the vitality utilization of these hubs and guarantee greatest system lifetime by adjusting the activity stack as similarly as could be expected under the circumstances. Directly grouping through dispersed strategies is being produced for conveying with the issues like system lifetime and vitality. In our work, we connected both concentrated and conveyed k-means clustering calculation in system test system. K-means is a model based algorithm that surrogates between two noteworthy advances, passing on perceptions to groups and processing cluster focuses until the point when a ceasing standard is satisfied. Improved results are accomplished and related which demonstrate that conveyed clustering is compelling than brought together grouping.Keywords
Wireless Sensor Network, Clustering, K-Means, Network Stability.
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