Author:
Liu Ning,Plets David,Vanhecke Kris,Martens Luc,Joseph Wout
Abstract
Abstract
The possibility of having information access anytime and anywhere has caused a huge increase of the popularity of wireless networks. Requirements of users and owners have been ever-increasing. However, concerns about the potential health impact of exposure to radio frequency (RF) sources have arisen and are getting accounted for in wireless network planning. In addition to adequate coverage and reduced human exposure, the installation cost of the wireless network is also an important criterion in the planning process. In this paper, a hybrid algorithm is used to optimize indoor wireless network planning while satisfying three demands: maximum coverage, minimal full installation cost (cabling, cable gutters, drilling holes, labor, etc.), and minimal human exposure. For the first time, wireless indoor networks are being optimized based on these advanced and realistic conditions. The algorithm is investigated for three scenarios and for different configurations. The impact of different exposure requirements and cost scenarios is assessed.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
Reference39 articles.
1. A Bahri, S Chamberland, On the wireless local area network design problem with performance guarantees. Comput. Netw. 48(6), 856–866 (2005).
2. E Amaldi, A Capone, M Cesana, F Malucelli, F Palazzo, in Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th, 4. WLAN coverage planning: optimization models and algorithms, (2004), pp. 2219–2223. doi:http://dx.doi.org/10.1109/VETECS.2004.1390668.
3. M Deruyck, E Vanhauwaert, D Pareit, B Lannoo, W Joseph, L Martens, WiMAX based monitoring network for a utility company: a case study. Transactions on Emerging Telecommunications Technologies (2012). accepted doi:http://dx.doi.org/10.1002/ett.2573.
4. G Koutitas, T Samaras, Exposure minimization in indoor wireless networks. Antennas Wireless Propagation Lett. IEEE. 9, 199–202 (2010).
5. D Plets, W Joseph, K Vanhecke, L Martens, in Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE. A heuristic tool for exposure reduction in indoor wireless networks (Chicago, IL, 2012), pp. 1–2.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献