A formal performance modeling framework for bio-inspired Ad Hoc routing protocols

GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

Volumn , Issue , 2008, Pages 103-110

  Saleem, Muhammad ^a   Khayam, Syed Ali ^b   Farooq, Muddassar ^c  

^a CENTER FOR ADVANCED STUDIES IN ENGINEERING   (Pakistan)

^b NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY NUST   (Pakistan)

^c NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES   (Pakistan)

Author keywords

Mathematical models; Routing and layout; Swarm intelligence; Telecommunications; Wireless ad hoc networks

Indexed keywords

AD HOC NETWORKS; BIOMIMETICS; ENERGY UTILIZATION; MATHEMATICAL MODELS; NETWORK ROUTING; ROUTING PROTOCOLS; SENSOR NETWORKS; SWARM INTELLIGENCE; TELECOMMUNICATION;

AD HOC ON DEMAND DISTANCE VECTOR; AD HOC ROUTING PROTOCOL; AD-HOC SENSOR NETWORKS; PERFORMANCE COMPARISON; PERFORMANCE METRICS; PROBABILISTIC PERFORMANCE; ROUTING AND LAYOUT; SIMULATION STUDIES;

POWER MANAGEMENT (TELECOMMUNICATION);

EID: 57349106524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389110     Document Type: Conference Paper

References (15)

1. C. Bettstetter. On the minimum node degree and connectivity of a wireless multihop network. In MobiHoc, 2002.
2. J. Broch, D. A. Maltz, D. B. Johnson, Y. C. Hu, and J. Jetcheva. A performance comparison of multi-hop wireless ad hoc network routing protocols. In MobiCom, 1998.
3. T. Camilo, C. Carreto, J. S. Silva, and F. Boavida. An energy-efficient ant-based routing for wireless sensor networks. In ANTS, 2006.
4. H.F. Wedde et al. Beeadhoc: an energy efficlient routing algorithm for mobile ad hoc networks inspired by bee behavior. In GECCO, 2005.
5. M. Farooq. Bee-inspired Protocol Engineering: From Nature to Networks. Natural Computing Series. Springer, (In Press).
6. S. Kurkowski, T. Camp, and M. Colagrosso. Manet simulation studies: The incredibles. ACM SIGMOBILE Mobile Computing and Communications Review, 9(4):50-61, October 2005.
7. C. Perkins and E. Royer. Ad-hoc on-demand distance vector routing. In Second IEEE Workshop on Mobile Computing Systems and Applications, 1999.
8. C.S. Raghavendra, K.M.S. Krishna, and T. Znati. Wireless Sensor Networks. Springer-Verlag, 2004.
9. M. Roth. The markovian termite: A soft routing framework. In IEEE SIS, 2007.
10. M. Roth and S. Wicker. Asymptotic pheromone behavior in swarm intelligent manets: An analytical analysis of routing behavior. In Sixth IFIP IEEE International Conference on Mobile and Wireless Communications Networks (MWCN), 2004.
11. M. Roth and S. Wicker. Termite: A swarm intelligent routing algorithm for mobile wireless ad-hoc networks. In Springer SCI Series: Swarm Intelligence and Data Mining, 2005.
12. M. Saleem and M. Farooq. Beesensor: A bee-inspired power aware routing protocol for wireless sensor networks. In EvoCOMNET, LNCS 4448, 2007.
13. H. F. Wedde, M. Farooq, and Y. Zhang. BeeHive: An efficient fault-tolerant routing algorithm inspired by honey bee behavior. In ANTS, 2004.
14. S. Zahid, M. Shehzad, S. U. Ali, and M. Farooq. A comprehensive formal framework for analyzing the behavior of nature inspired routing protocols. In Congress on Evolutionary Computing (CEC), 2007.
15. Y. Zhang, L.D. Kuhn, and M.P.J. Fromherz. Improvements on ant routing for sensor networks. In ANTS, 2004.