Green ICT: Energy Efficiency in a Motorway Model

Green ICT (Information and Communication Technology) is a new focus with the goal of saving energy by optimizing mobile network communications and ultimately protecting the natural climate. Here we consider the design of vehicular ad-hoc networks (VANETs) to reduce energy consumption due to communications. Based on a realistic transport traffic scenario on a motorway, ”M4” in UK, this paper computes the energy consumption in a motorway ad-hoc wireless network. This is based on a Geographical Adaptive Fidelity (GAF) topology management protocol, where the energy consumption has been analysed for equal-grid, adjustable-grid and genetic algorithm models. Considering nodes in the VANET network and their transmission ranges, this paper provides a network model to compute the energy consumption of VANETs and compare their energy efficiency performance. As a result, the proposed genetic algorithm model has been found to be more energy efficient than the adjustable-grid model which is better than the equal-grid model.

[1]  Nj Piscataway,et al.  Wireless LAN medium access control (MAC) and physical layer (PHY) specifications , 1996 .

[2]  D.I. Laurenson,et al.  Impact of power saving MAC scheme on ad hoc network routing protocol , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[3]  Jaafar M. H. Elmirghani,et al.  Pico Cellular MAC Protocol for Multimedia Communication , 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

[4]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[5]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[6]  Lui Sha,et al.  Design and analysis of an MST-based topology control algorithm , 2003, IEEE Transactions on Wireless Communications.

[7]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[8]  Leandros Tassiulas,et al.  Energy conserving routing in wireless ad-hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[9]  Melanie Mitchell,et al.  An introduction to genetic algorithms , 1996 .

[10]  Hongchi Shi,et al.  Analysis of Energy Consumption in Clustered Wireless Sensor Networks , 2007, 2007 2nd International Symposium on Wireless Pervasive Computing.

[11]  Teresa H. Meng,et al.  Minimum energy mobile wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[12]  Anantha Chandrakasan,et al.  Upper bounds on the lifetime of sensor networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[13]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[14]  Keith J. Blow,et al.  Radio range adjustment for energy efficient wireless sensor networks , 2006, Ad Hoc Networks.

[15]  Hai Wang,et al.  An energy-saving scheme for wireless LANs , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[16]  Archan Misra,et al.  Minimum energy paths for reliable communication in multi-hop wireless networks , 2002, MobiHoc '02.