Journal of Computer Networks and Communications Energy-Efficient Wireless Communications with Future Networks and Diverse Devices Guest Editors: Runhua Chen, Lingjia Liu, Krishna Sayana, and Hongxiang Li Energy-Efficient Wireless Communications with Future Networks and Diverse Devices Journal of Computer Networks and Communications Energy-Efficient Wireless Communications with Future Networks and Diverse Devices Guest Editors: Runhua Chen, Lingjia Liu, Krishna Sayana, and Hongxiang Li Copyright © 2013 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “Journal of Computer Networks and Communications.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, pro- vided the original work is properly cited. Editorial Board A. Annamalai, USA Akhtar Kalam, Australia Rick Stevens, USA Shlomi Arnon, Israel K. Kyamakya, Austria Liansheng Tan, China R. K. Begg, Australia Long Le, USA J. K. Tugnait, USA E. Da Silva, Brazil Khoa Le, Australia Junhu Wang, Australia B. T. Doshi, USA Zhen Liu, USA Ouri Wolfson, USA John Doucette, Canada A. Mostefaoui,´ France Walter Wong, Brazil M. El-Tanany, Canada Peter Muller,¨ Switzerland Tin-Yu Wu, Taiwan Lixin Gao, China Jun Peng, USA Youyun Xu, China Song Han, China Juan Reig, Spain Zhiyong Xu, USA Yueh M. Huang, Taiwan S. K. Sathananthan, Australia Yang Yang , UK Yi Huang, USA J. Seberry, Australia Dongfeng Yuan, China T. Hwang, Taiwan Heidi Steendam, Belgium Contents Energy-Efficient Wireless Communications with Future Networks and Diverse Devices,RunhuaChen, Lingjia Liu, Krishna Sayana, and Hongxiang Li Volume 2013, Article ID 897029, 2 pages ECOPS: Energy-Efficient Collaborative Opportunistic Positioning for Heterogeneous Mobile Devices, Kaustubh Dhondge, Hyungbae Park, Baek-Young Choi, and Sejun Song Volume 2013, Article ID 136213, 13 pages Equalizer’s Use Limitation for Complexity Reduction in a Green Radio Receiver, Salma Bourbia, Daniel Le Guennec, Jacques Palicot, Khaled Grati, and Adel Ghazel Volume 2012, Article ID 794202, 15 pages PCA-Guided Routing Algorithm for Wireless Sensor Networks, Gong Chen, Liansheng Tan, Yanlin Gong, and Wei Zhang Volume 2012, Article ID 427246, 10 pages Performance Analysis of the IEEE 802.11s PSM, Mirza Nazrul Alam, Riku Jantti,¨ Jarkko Kneckt, and Johanna Nieminen Volume 2012, Article ID 438654, 14 pages Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks,AliShareefand Yifeng Zhu Volume 2012, Article ID 870281, 20 pages Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks, Abdellah Chehri and Hussein T. Mouftah Volume 2012, Article ID 767920, 8 pages Power-Management Techniques for Wireless Sensor Networks and Similar Low-Power Communication Devices Based on Nonrechargeable Batteries, Agnelo Silva, Mingyan Liu, and Mahta Moghaddam Volume 2012, Article ID 757291, 10 pages Hindawi Publishing Corporation Journal of Computer Networks and Communications Volume 2013, Article ID 897029, 2 pages http://dx.doi.org/10.1155/2013/897029 Editorial Energy-Efficient Wireless Communications with Future Networks and Diverse Devices Runhua Chen,1 Lingjia Liu,2 Krishna Sayana,3 and Hongxiang Li4 1 Wireless Base Station Infrastructure, Texas Instruments Incorporated, Dallas, TX 75243, USA 2 Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS 66045, USA 3 Standards and Research Lab, Motorola Mobility Incorporated, Libertyville, IL 60048, USA 4 Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY 40292, USA Correspondence should be addressed to Runhua Chen; [email protected] Received 11 February 2013; Accepted 11 February 2013 Copyright © 2013 Runhua Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Telecommunication networks are responsible for approxi- The goal of this special issue is to give a comprehensive mately 2% of the global energy consumption. As data traffic overview of the ongoing research on energy-efficient wireless continues to grow due to the proliferation of smart phone communication for future networks and devices, in areas devices, reducing greenhouse emission by improving the net- including energy-efficient communication, smart metering, work energy efficiency is becoming increasingly important. energy harvesting, energy conservation with network coordi- Such improvements may be achieved by advanced system nation, and machine-type communication. We hope that this design at both the network and the mobile terminal sides, will motivate interested researchers to explore and propose although the majority of savings may come from the infras- new ideas in these growingly important areas. The special tructure. For instance, one promising technique for cellular issue begins with a paper coauthored by A. Shareef and network power reduction is through advanced radio resource Y. Zhu discussing a novel evaluation platform for assessing management (RRM) to dynamically switch ON or OFF a energy efficiency of wireless sensor networks. Such a model basestation based on daily traffic variation. By switching is important as it allows for quick and accurate evaluations OFF lightly loaded basestation and offloading the traffic to of different energy consumption algorithms, protocols, and neighboring basestations, significant energy reduction may system designs. In particular, the article proposes a Petri net be possible without compromising the network performance. model-based platform, which is analytically and numerically Improving energy efficiency also needs to consider future shown to outperform the Markov model and programmed networks shifting towards more diversified services. Exem- simulation in terms of evaluation accuracy, with low con- plary application scenarios include smart metering, wire- struct and test simplicity. less sensor monitoring, and machine-to-machine commu- In the article coauthored by A. Chehri and H. Moutfah, nication. These scenarios introduce new traffic behaviors the researchers go into more details on improving the energy inthenetwork,andduetothesmallerpacketsizesand consumption efficiency of wireless sensor networks. As sen- the extremely large number of devices, improving energy sor nodes are usually powered by batteries or other low- efficiency of the network while reducing device cost is vital. energy power resources, optimizing the system performance There is a need for energy-efficient solutions to enable new with power constraint is of practical importance. For that smart and energy-efficient devices to simultaneously share end, the authors propose a green routing protocol relying the network with relatively fewer numbers of conventional on adaptive modulation and power control, which is shown devices that have much larger data and energy consumption to improve the energy efficiency of sensor networks without demands. compromising the QoS constraint of delay and error rate. 2 Journal of Computer Networks and Communications The paper coauthored by G. Chen et al. investigates a positioning services and the combination methods includ- new routing algorithm for wireless sensor networks (WSNs) ing a received signal strength indicator, 2D trilateration, based on principal component analysis (PCA). By disclosing and available power measurement of mobile devices. The the connection between PCA and K-means, the authors evaluation conducted by the authors shows that ECOPS design a clustering algorithm which efficiently develops a significantly reduces energy consumption and achieves good clustering structure in WSNs. Moreover, as a compression accuracy of a location. method, the paper demonstrates that PCA technique can Energy consumption reduction in the receiver chain also be used in data aggregation for WSNs. It establishes by limiting the use of the equalizer is investigated by S. the explicit procedure of PCA-guided routing algorithm for Bourbia et al. This goal is achieved by making the radio WSNs by incorporating PCA technique into both the data receiver aware of its environment and being able to take aggregating and routing processes. The advantages of the decision to turn on or off the equalizer according to its proposed algorithm are demonstrated by theoretical analyses necessity or not. When the equalizer is off, the computational and simulation results. The simulation results show that complexity is reduced, and the rate of reduction depends the PCA-guided routing algorithm significantly reduces the on the percentage of time during which the component is energy consumption, prolongs the lifetime of network, and disabled. In order to adapt the use of the equalizer, the authors improves network throughput. developed a decision-making technique that provides to the In the following article, A. Silva et al. study new power receiver the capacities of awareness and adaptability to the management techniques to extend as much as possible state of its environment. A technique based on a statistical the lifetime of primary cells (nonrechargeable batteries). modeling of the environment is introduced by defining two By assuming low duty-cycle applications, three power- metrics as channel quality indicators to evaluate the effects management techniques are combined in a novel way to pro- of the