Get Energy Management in Wireless Cellular and Ad-hoc Networks PDF

By Muhammad Zeeshan Shakir, Muhammad Ali Imran, Khalid A. Qaraqe, Mohamed-Slim Alouini, Athanasios V. Vasilakos

ISBN-10: 3319275666

ISBN-13: 9783319275666

ISBN-10: 3319275682

ISBN-13: 9783319275680

This booklet investigates power administration techniques for strength effective or energy-centric procedure layout and structure and offers end-to-end power administration within the fresh heterogeneous-type instant community medium. It additionally considers strength administration in instant sensor and mesh networks by way of exploiting power effective transmission strategies and protocols. and explores strength administration in rising functions, prone and engineering to be facilitated with 5G networks corresponding to WBANs, VANETS and Cognitive networks. a distinct concentration of the booklet is at the exam of the strength administration practices in rising instant mobile and advert hoc networks. contemplating the wide scope of power administration in instant mobile and advert hoc networks, this publication is prepared into six sections protecting diversity of power effective platforms and architectures; strength effective transmission and methods; power effective functions and prone.

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3. In this scenario, we utilize the relay urban 2014 power model for performance evaluation. Figure 4 depicts the effect of the density of RNs on the number of active macro base stations in operation. Specifically, from the plot, it can be seen that our proposed load balancing algorithm for a dense macro-relay network can offload traffic from macro BSs and switch off most of the lightly loaded macro BSs. Moreover, it is evident from Fig. 4 that more macro BSs are switched off by increasing the density of RNs in the network.

In: IEEE ICC, June 2012, pp. 4883–4887 9. : How much energy is needed to run a wireless network? IEEE Wireless Commun. 18(5), 40–49 (2011) 10. : System for automated diagnosis in cellular networks based on performance indicators. Eur. Trans. Telecommun. 16(5), 399–409 (2005) 11. : Method of monitoring wireless network performance. US Patent 10/946,255, 21 Sep 2004 12. : A dynamic affinity propagation clustering algorithm for cell outage detection in self-healing networks. In: IEEE WCNC, Apr 2013, pp.

Telecommun. 16(5), 399–409 (2005) 11. : Method of monitoring wireless network performance. US Patent 10/946,255, 21 Sep 2004 12. : A dynamic affinity propagation clustering algorithm for cell outage detection in self-healing networks. In: IEEE WCNC, Apr 2013, pp. 2266–2270 13. : Distribution-based anomaly detection via generalized likelihood ratio test: a general maximum entropy approach. Comput. Netw. 57(17), 3446–3462 (2013) 14. : Automated diagnosis for UMTS networks using Bayesian network approach.

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Energy Management in Wireless Cellular and Ad-hoc Networks by Muhammad Zeeshan Shakir, Muhammad Ali Imran, Khalid A. Qaraqe, Mohamed-Slim Alouini, Athanasios V. Vasilakos


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