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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
The “wireless sensor networks (WSNs)” are the most important aspect of the growth of “Internet of Things (IoT)” over the recent years with an increasing range of applications like agriculture, healthcare, etc., especially for tracking and monitoring, which are usually associated with security issues. Sensors can be used in large, remote, and unpopulated areas in some applications and track congested and busy spaces. It is very important to cluster the nodes of a sensor network into multiple clusters for common scalability reasons. They can also devise usage or maintenance schedules that might improve the lifetime of the network.
The WSNs are an important aspect of the daily lives of people in the future. The sensor nodes need very little energy. Failure of a single node of the network or WSN can pose serious damage to the operation, especially when it is used in healthcare and the military. Power-saving is a major issue in wireless networks. Various optimization techniques can be used to get ample output in every situation where it is possible to save energy. Sensor deployment and routing are two major issues to get fruitful results with optimization models. This paper briefly discusses optimization algorithms used in IoT networks. This paper also compares existing and advanced clustering algorithms to analyze their performance.
Keyword
Internet of Things, optimization algorithms, clustering algorithms, sensors, IoT, wireless sensor networks
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