© The Institution of Engineering and Technology
In the recent past, research in the next generation wireless heterogeneous broadband networks has favoured the design of multi-radio interface over the single radio interface architectures to support desirable features such as a self-organisation, self-configuration, reliability and robustness of network operations in a resource-constrained environment. However, such autonomous network behaviours have been seen to cause an inefficient consumption of energy and frequency channel resources, impacting negatively on the economy and environment. To address the inefficient energy and frequency channel utilisation problems, this study proposes a biological behaviour-based network resource management method. The research is inspired by such a well-established optimal foraging theory whereby a solitary biological forager in a random ecosystem makes optimal decisions that maximise its own nutrients consumption, survival probability and lifetime, whereas minimising possible risks associated with its own behaviour. This study has applied this natural principle and developed a Bio-inspired Energy and Channel (BEACH) management method. The BEACH method is aimed at achieving both efficient communication energy and frequency channel utilisation in the considered distributed wireless multi-radio network. The efficacy of the developed BEACH method has been extensively validated through computer simulations and shown to yield improved energy-efficiency and throughput performance.
References
-
-
1)
-
9. Manweiler, J., Choudhury, R.R.: ‘Avoiding the rush hours: Wi-Fi energy management via traffic isolation’, IEEE Trans. Mob. Comput., 2012, 11, (5), pp. 739–752 (doi: 10.1109/TMC.2011.269).
-
2)
-
1. Olwal, T.O.: ‘Decentralised dynamic power control for wireless backbone mesh networks’, , University of Paris-EST and Tshwane University of Technology, 2010.
-
3)
-
7. Quijano, N., Passino, K.M.: ‘Foraging theory for multi-zone temperature control’, IEEE Comput. Intell. J. Mag., 2006, 1, (4), pp. 18–27.
-
4)
-
17. Olwal, T.O., van Wyk, B.J., Kogeda, P.O., Mekuria, F.: ‘FIREMAN: foraging-inspired radio communication energy management in green multi-radio networks’, in Khan, S., Mauri, J.L. (Eds.): ‘Green networking and communications: ICT for sustainability’ (Auerbach publications, Francis and Taylors Group, CRC Press, 2013) pp. 29–47.
-
5)
-
6)
-
16. Sweeney, K.: ‘Predator and prey activity levels jointly influence the outcome of long-term foraging bouts’, Behaviorial Ecol., 2013, 25, (5), pp. 1205–1210 (doi: 10.1093/beheco/art052).
-
7)
-
19. Pavlic, T.P.: ‘Optimal foraging theory revisited’, , The Ohio State University, Columbus, OH, 2007.
-
8)
-
12. Olwal, T.O., Djouani, K., Kogeda, O.P., van Wyk, B.J.: ‘Joint queue-perturbed and weakly coupled power control for wireless backbone networks’, Int. J. Appl. Math. Comput. Sci., 2012, 22, (3), pp. 749–764.
-
9)
-
14. Gao, S., Qian, L., Vaman, D.R.: ‘Energy efficient resource allocation in cognitive radio wireless ad hoc networks’, in Wang, X. (Ed.): ‘Mobile ad-hoc networks: protocol design’ (InTech, 2011).
-
10)
-
5. Wang, J., Fang, Y., Wu, D.: ‘A power saving multi-radio channel MAC protocol for wireless local area networks’. Proc. IEEE INFOCOM, Barcelona, Spain, April 2006, pp. 1–13.
-
11)
-
8. Gomez, K., Riggio, R., Rasheed, T., Granelli, F.: ‘Analysing the energy consumption behaviour of Wi-Fi networks’. Proc. Conf. in Green Communications (GreenCom'2011), New York, September 2011, pp. 98–104.
-
12)
-
8. Bianzino, A.P., Chaudet, C., Rossi, D., Rougier, J.-L.: ‘A survey of green networking research’, IEEE Commun. Surv. Tutor., 2012, 14, (1), pp. 3–20 (doi: 10.1109/SURV.2011.113010.00106).
-
13)
-
18. Halder, N., Song, J.B.: ‘Game theoretical analysis of radio resource management in wireless networks: a non-cooperative game approach of power control’, Int. J. Comput. Sci. Netw. Secur., 2007, 7, (7), pp. 184–192.
-
14)
-
10. Olwal, T.O., van Wyk, B.J., Djouani, K., et al: ‘Autonomous transmission power adaptation for multi-radio multi-channel wireless mesh networks’. Proc. Int. Conf. ADHOC-NOW, Murcia, Spain, September 2009, pp. 284–297.
-
15)
-
6. Pavlic, T.P., Passino, K.M.: ‘Generalizing foraging theory for analysis and design’, Int. J. Robot Res., 2011, 30, (5), pp. 505–523 (doi: 10.1177/0278364910396551).
-
16)
-
13. Campbell, C.E.A., Khan, S., Singh, D., Loo, K.K.: ‘Multi-channel multi-radio using 802.11 based media access for sink nodes in wireless sensor networks’. Sensors, 2011, pp. 4917–4943.
-
17)
-
11. Lymberopoulos, D., Priyantha, N.B., Goracko, M., Zhao, F.: ‘Towards energy-efficient design of multi-radio platforms for wireless sensor networks’. Proc. ACM Int. Conf. on Information Processing in Sensor Networks (IPSN'08), St. Louis, Missouri, USA, April 2008.
-
18)
-
2. Comaniciu, C., Mandayam, N.B., Poor, H.V.: ‘Radio resource management for green wireless networks’. Proc. IEEE Vehicular Technology Conf., Barcelona, Spain, April 2009.
-
19)
-
4. Tompros, S., Mouratidis, N., Hrasnica, H., Gravras, A.: ‘A pervasive network architecture featuring intelligent energy management of households’. Proc. First ACM Int. Conf. on Pervasive Technology Related to Assistive Environments (PETRA'08), Athens, Greece, July 2008.
-
20)
-
15. Stephens, D.W., Brown, J.S., Ydenberg, R.C. (Eds.): ‘Foraging: behaviour and ecology’ (University of Chicago Press, Chicago, USA, 2007).
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