A genetic approach to joint routing and link scheduling for wireless mesh networks

Ad Hoc Networks

Volumn 7, Issue 4, 2009, Pages 654-664

  Badia, Leonardo ^a   Botta, Alessio ^a   Lenzini, Luciano ^b  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

^b UNIVERSITY OF PISA   (Italy)

Author keywords

Genetic algorithms; Integer linear programming; Link scheduling; Routing; Wireless mesh networks

Indexed keywords

COMPUTER NETWORKS; DYNAMIC PROGRAMMING; GATEWAYS (COMPUTER NETWORKS); GENETIC ALGORITHMS; INTEGER PROGRAMMING; LINEAR PROGRAMMING; LINEARIZATION; LOCAL AREA NETWORKS; METROPOLITAN AREA NETWORKS; PAPER; PARTICLE SIZE ANALYSIS; REAL TIME SYSTEMS; ROUTING ALGORITHMS; SCHEDULING; SCHEDULING ALGORITHMS; TELECOMMUNICATION SYSTEMS; WIRELESS LOCAL AREA NETWORKS (WLAN);

BROADBAND CONNECTIVITIES; COMPLEX MODELS; EXACT METHODS; FAST COMPUTATIONS; GENETIC APPROACHES; INFRA STRUCTURES; INTEGER LINEAR PROGRAMMING; INTEGER LINEAR PROGRAMMING PROBLEMS; JOINT LINKS; JOINT ROUTING; LINK SCHEDULING; MOBILE CLIENTS; MULTI RADIOS; MULTI-CHANNELS; MULTIPLE FLOWS; OPTIMIZATION PROBLEMS; PHYSICAL INTERFERENCES; ROUTING; SIGNAL-TO-INTERFERENCE RATIOS; THEORETICAL MODELS; WIRED NETWORKS; WIRELESS MESH NETWORKS; WIRELESS MESHES;

WIRELESS NETWORKS;

EID: 58149202521     PISSN: 15708705     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.adhoc.2008.04.005     Document Type: Article

References (26)

1. Akyildiz I.F., Wang X., and Wang W. Wireless mesh networks: a survey. Comput. Networks 47 (2005)
2. Brar G., Blough D., and Santi P. Computationally efficient scheduling with the physical interference model for throughput improvement in wireless mesh networks. Proc. ACM Mobicom (2006) 2-13
3. Anil Kumar V.S., Marathe M.V., Parthasarathy S., and Srinivasan A. Algorithmic aspects of capacity in wireless networks. Proc. ACM SIGMETRICS (2005) 133-144
4. Chang J.-H., and Tassiulas L. Maximum lifetime routing in wireless sensor networks. IEEE/ACM Trans. Network 12 4 (2004) 609-619
5. Alicherry M., Bhatia R., and Li L. Joint channel assignment and routing for throughput optimization in multi-radio wireless mesh networks. Proc. ACM Mobicom (2005) 58-72
6. Kodialam M., and Nandagopal T. Characterizing achievable rates in multi-hop wireless networks: the joint routing and scheduling problem. Proc. ACM Mobicom (2003) 42-54
7. Kodialam M., and Nandagopal T. Characterizing the capacity region in multi-radio multi-channel wireless mesh networks. Proc. ACM Mobicom (2003) 73-87
8. Wolsey A. Integer Programming (1998), John Wiley and Sons, New York
9. Gupta P., and Kumar P.R. The capacity of wireless networks. IEEE Trans. Inf. Theory 46 2 (2000)
10. Burkhart M., von Rickenbach P., Wattenhofer R., and Zollinger A. Does topology control reduce interference?. Proc. ACM Mobihoc (2004) 9-19
11. Badia L., Erta A., Lenzini L., and Zorzi M. A general interference-aware framework for joint routing and link scheduling in wireless mesh networks. IEEE Network 22 1 (2008) 32-38
12. De Jong K.A. Evolutionary Computation: A Unified Approach (2006), MIT Press
13. Al-Bassam B., Alheraish A., and Bakry S.H. A tutorial on using genetic algorithms for the design of network topology. Int. J. Network Manage. 16 4 (2006) 253-262
14. Ko K.-T., Tang K.-S., Chan C.-Y., Man K.-F., and Kwong S. Using genetic algorithms to design mesh networks. IEEE Comput. Mag. 30 8 (1997) 56-60
15. Ferentinos K., and Tsiligiridis T. Adaptive design optimization of wireless sensor networks using genetic algorithms. Comput. Networks 51 (2007) 1031-1051
16. Jain K., Padhye J., Padmanabhan V.N., and Qiu L. Impact of interference on multi-hop wireless network performance. Proc. ACM Mobicom (2003) 66-80
17. Raniwala A., Gopalan K., and Chiueh T.-C. Centralized channel assignment and routing algorithms for multi-channel wireless mesh networks. ACM Mobile Comput. Commun. Rev. 18 2 (2004) 50-65
18. Stine J.A. Exploiting smart antennas in wireless mesh networks using contention access. IEEE Wireless Commun. 13 2 (2006) 38-49
19. Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Program. third ed. (1996), Springer-Verlag, Berlin
20. Michalewicz Z., and Schoenauer M. Evolutionary algorithms for constrained parameter optimization problems. Evolution. Comput. 4 1 (1996) 1-32
21. Coello Coello C.A. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput. Methods Appl. Mech. Engrg. 191 11-12 (2002) 1245-1287
22. Jun J., and Sichitiu M.L. The nominal capacity of wireless mesh networks. IEEE Wireless Commun. 10 5 (2003) 8-14
23. Gudmundson M. Correlation model for shadow fading in mobile radio systems. Electron. Lett. 27 23 (1991) 2145-2146
24. The Mathworks, MATLAB Release 2006a, .
25. L. Badia, A. Botta, L. Lenzini, Joint routing and link scheduling for wireless mesh networks through genetic algorithms, in: Proc. WiOpt, 2007.
26. M. Berkelaar, K. Eikland, P. Notebaert, lp_solve: Open source (Mixed-Integer) Linear Programming system, available at (website): .