Energy efficiency and traffic offloading in wireless mesh networks with delay bounds. (24th November 2014)

• Record Type: Journal Article
• Authors: Garroppo, Rosario G.; Gendron, Bernard; Nencioni, Gianfranco; Tavanti, Luca
• Other Names: Leung Victor C. M. guestEditor.; Jimaa Shihab guestEditor.; Kong Peng‐Yong guestEditor.; Chai Michael guestEditor.
• Is Part Of: International journal of communication systems. Volume 30:Number 2(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2014-11-24
• Subjects: energy efficiency -- traffic offloading -- wireless mesh networks -- content delivery -- quality of service -- optimization; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.2902
• Languages: English
• ISSNs: 1074-5351

Abstract

SUMMARY: In this paper, we study a wireless access network based on the Institute of Electrical and Electronics Engineers 802.11 standard and enriched with features such as caching and mesh networking. This system is analysed in terms of energy efficiency and traffic offloading, two objectives that are somewhat in contrast but both relevant to network and service providers as they directly impact the operational cost. In addition, QoS is also accounted for in the form of guaranteed bandwidth and bounded delay. To this aim, we developed a mathematical model of the system and solved it to optimality by means of integer linear programming. We can thus show how much can be saved both in terms of energy and traffic, also considering various tradeoff points among the two contrasting objectives. As a last step, we provide an investigation on the benefits of adding traffic aggregation features to the mathematical model. Copyright © 2014 John Wiley & Sons, Ltd. Abstract : The paper presents QETAC, a method for optimising the energy efficiency and traffic offloading performance of a wireless access network with caching and mesh capabilities under quality of service requirements. QETAC is capable of providing a sensible saving in both objectives and allows for the flexible tuning of the operating tradeoff point. Bandwidth requirements and realistic delay bounds are met without meaningful losses in energy or traffic performance.