NDLI: Multi-objective network planning optimization algorithm: human exposure, power consumption, cost, and capacity

Content Provider	Springer Nature Link
Author	Liu, Ning Plets, David Goudos, Sotirios K. Martens, Luc Joseph, Wout
Copyright Year	2014
Abstract	Due to the huge popularity of wireless networks, future designs will not only consider the provided capacity, but also the induced exposure, the corresponding power consumption, and the economic cost. As these requirements are contradictory, it is not straightforward to design optimal wireless networks. Those contradicting demands have to satisfy certain requirements in practice. In this paper, a combination of two algorithms, a genetic algorithm and a quasi-particle swarm optimization, is developed, yielding a novel hybrid algorithm that generates further optimizations of indoor wireless network planning solutions, which is named hybrid indoor genetic optimization algorithm. The algorithm is compared with a heuristic network planner and composite differential evolution algorithm for three scenarios and two different environments. Results show that our hybrid-algorithm is effective for optimization of wireless networks which satisfy four demands: maximum coverage for a user-defined capacity, minimum power consumption, minimal cost, and minimal human exposure.
Starting Page	841
Ending Page	857
Page Count	17
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	21
Issue Number	3
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2014-09-28
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Indoor wireless network planning Optimization algorithm WiFi (IEEE 802.11n) Coverage Power consumption Exposure Communications Engineering, Networks Computer Communication Networks Electrical Engineering IT in Business
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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