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Proceeding of
Proceeding of
National Conference
on
Recent Trends in
Data Science and
Big Data Networking
(NCRDBN-2015)
18-19 December, 2015
as
A Special Issue of
International Journal of Computer Science and
Applications
(ISSN:0974-1011)
Chief Patron
Shri Banwarilal Purohit
Chairman,RCOEM
Shri Govindlal Agarwal
General Secretary, RCOEM
Patron
Dr. R.S. Pande
Principal,RCOEM
Conveners
Dr. M. B.
Chandak
(Head, Dept. of CSE)
Co-convener
Dr. A. J.
Agrawal
Organizing Committee
Prof. S. G. Mundhada
Prof. A. Zadgaonkar
Prof. S.S. Aote
Prof. D. A. Borikar
Prof. A. R. Raipurkar
Organized by
Dept of Computer Science &
Engineering,
Shri Ramdeobaba College of
Engineering and Management, Nagpur – 440013.
Website:
www.rknec.edu
In association with
Department of Science & Technology
Editor
K. H. Walse
M.S.India
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IJCSA ISSN: 0974-1011 (Online)
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Title: |
Exploration of Data
Behavior at Mobile Sink |
Author: |
Sumedha
Sirsikar and Shalini Gour |
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Abstract |
Wireless
Sensor Networks (WSN) consist of small nodes with sensing,
computation, and wireless communications capabilities. These
sensors have the ability to communicate either among each
other or directly to an external base-station (BS). Sensor
nodes are highly constrained in terms of energy supply and
bandwidth. Wireless sensor network with static sink suffers
from the Energy Hole Problem [2] or Hot Spot Problem. In this
problem nodes near to the sink depletes more energy which
leads to network partitioning. We propose a solution to this
problem as mobile sink in wireless sensor network. Using
mobile sink the problem of Hot Spot can be efficiently
minimized. The proposed protocol uses delay tolerant approach
where the proposed algorithm divides the WSN into the number
of clusters. Each cluster has a cluster head and cluster
members when a node wants to send data to the sink it first
sends data to the cluster head (CH) then CH sends data to the
sink. In the proposed work the network is scalable so if the
network size increases the sink will store a huge amount of
data such as location of CH and aggregated data from various
CH. Hence the proposed approach also incorporates the behavior
of data at the mobile sink. |
©2016International Journal of
Computer Science and Applications
Published by Research
Publications, India |
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