Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Ant-based load balancing in telecommunications networks
Adaptive Behavior
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Artificial Life
Transportation Modeling: An Artificial Life Approach
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
On-Demand Multi Path Distance Vector Routing in Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Recent Developments In Biologically Inspired Computing
Recent Developments In Biologically Inspired Computing
BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Performance evaluation and simulations of routing protocols in ad hoc networks
Computer Communications
Bee-Inspired Protocol Engineering: From Nature to Networks
Bee-Inspired Protocol Engineering: From Nature to Networks
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
BeeIP: bee-inspired protocol for routing in mobile ad-hoc networks
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
A survey of quality of service in IEEE 802.11 networks
IEEE Wireless Communications
BeeIP - A Swarm Intelligence based routing for wireless ad hoc networks
Information Sciences: an International Journal
Hi-index | 0.00 |
With no fixed infrastructure, discovering new ways of managing high mobility and limited resources to produce optimized routing in wireless ad hoc networks is the key objective of active research. Adaptive foraging principles found in insects have attracted the research community to develop new approaches that benefit from the simplicity and collaborative behaviours of these natural multi-agent systems. This paper discusses both traditional and swarm-intelligence-based routing and investigates the extent to which a new bee-inspired approach, termed BeeIP, results in adaptive, robust and optimized routing in networks of high mobility. BeeIP is directly and quantitatively compared with the state-of-the-art protocols using a variety of performance metrics. The results show that it outperforms the others by keeping low and balanced end-to-end packet delay under stressful network conditions, such as high traffic and mobility rates. In addition, BeeIP is indirectly and qualitatively compared with the first bee-inspired routing protocol, BeeAdHoc. The resulting discussion indicates that the proposed design can offer better packet delivery ratio and use smaller control packets, thus less overhead, by utilizing an enhanced adaptive path monitoring mechanism inspired by honeybee foraging.