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  • 标题:Honey bee based QoS routing for MANETs
  • 本地全文:下载
  • 作者:H.Lookman Sithic ; S.Gnanam
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:10
  • 页码:15791
  • DOI:10.15680/IJIRCCE.2017.0510023
  • 出版社:S&S Publications
  • 摘要:Mobile ad hoc network is a self-governing wireless network for mobile devices. It does not require anyfixed infrastructure to be configured which makes it more appropriate to be used in environments that require on-the-flysetup. The network requires no centralized management, the structure of topology is changed arbitrarily and thecommunication between the devices will take place via radio waves at anywhere and anytime. Nodes of ad hoc networkcan act as end system as well as routers. The challenges of mobile ad hoc network are scalability, resource availability,security threats, no predefined boundary and limited power supply. Routing in mobile ad hoc network determines thebest path to reach the destination in the network and it plays a vital role in deciding the quality of service. The qualityof service for wireless routing is more challenging than wired network due to node mobility and resource constraints.The goal of quality of service is to provide a better service to the selected network traffic. The quality of serviceparameter includes end-to-end delay, routing overhead, packet delivery ratio, throughput, control overhead, energy, andjitter. Optimization can be used to find out the best solution from the possible set of paths. Different optimizationtechniques are available to provide improved quality of service in mobile ad hoc network routing. Artificial BeeColony algorithm is one of the swarm intelligence-based optimization techniques and finds out an optimal path fromsource to destination. This algorithm is based on the intelligent foraging behavior of a honeybee swarm.
  • 关键词:Mobile Ad hoc Network;Quality of Service; Swarm intelligence; honeybee behavior; scouting;foraging; path selection.
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