A Survey on Algorithms Based on Bee Swarms for Ad Hoc Networks



Ad hoc networks are wireless networks with new architectures, which are formed in any environment that is needed, without a fixed infrastructure. Due to a lack of central management and fixed infrastructure, and the poor physical security of nodes, these networks are extremely vulnerable. As the usage and development of ad hoc networks increases, problems related to these networks are a popular research topic. Hence, efficient and effective algorithms, such as bee algorithms, were created, which were inspired by the foraging principles of honey bees. In this paper, we study algorithms based on bee swarms in ad hoc networks.



Ad hoc networks, Bee swarm intelligence, routing, efficiency

Full Text:



R Hekmat. Ad-Hoc Networks: Fundamental Properties and Network Topologies. Springer, 2006.

SK Dhurandher, S Misra, P Pruthi, S Singhal and S Aggarwal. Using bee algorithm for peer-to-peer file searching in mobile ad hoc networks. J. Net. Comput. Appl. 2011; 31, 1498-508.

D Karaboga and B Akay. A survey: Algorithms simulating bee swarm intelligence. J. Artif. Intell. Rev. 2009; 31, 61-85.

HF Wedde, M Farooq, T Pannenbaecker and B Vogel. BeeAdHoc: An energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior. In: Proceedings of the ACM Genetic and Evolutionary Computation Conference, Washington DC, USA, 2005, p. 153-60.

N Mazhar and M Farooq. Vulnerability analysis and security framework (BeeSec) for nature inspired MANET routing protocols. In: Proceedings of the ACM Genetic and Evolutionary Computation Conference, London, UK, 2007, p. 102-9.

N Mazhar and M Farooq. BeeAIS: Artificial immune system security for nature inspired, MANET routing protocol, Beeadhoc. In: Proceedings of the International Conferences on Artificial Immune Systems, LNCS 4628, Springer-Verlag, 2007, p. 370-81.

N Mazhar and M Farooq. A sense of danger: Dendritic cells inspired artificial immune system (AIS) for MANET security. In: Proceedings of the ACM Genetic and Evolutionary Computation Conference, Atlanta, Georgia, USA, 2008.

A Giagkos and MS Wilson. BeeIP: Bee-inspired protocol for routing in mobile ad hoc networks. In: Proceedings of the 11th International Conference on Simulation of Adaptive Behavior, Paris, 2010, p. 263-72.

N Mazhar and M Farooq. A hybrid artificial immune system (AIS) model for power aware secure Mobile Ad Hoc Networks (MANETs) routing protocols. J. Appl. Soft. Comput. 2011; 11, 5695-714.

KG Santhiya and N Arumugam. A novel adaptive bio-inspired clustered routing for MANET. J. Proc. Eng. 2012; 30, 711-7.

S Bitam and A Mellouk. Bee life-based multi constraints multicast routing optimization for vehicular ad hoc networks. J. Net. Comput. Appl. 2013; 36, 981-91.

M Saleem, I Ullah and M Farooq. BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks. J. Info. Sci, 2012; 200, 38-56.

C Ozturk, D Karaboga and B Gorkemli. Artificial bee colony algorithm for dynamic deployment of wireless sensor networks. Turk. J. Electr. Eng. Comput. Sci. 2012; 20, 255-62.


  • There are currently no refbacks.


Online ISSN: 2228-835X


Last updated: 20 June 2019