Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
A Highly Adaptive Distributed Routing Algorithm for Mobile Wireless Networks
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Learning through participatory simulations: network-based design for systems learning in classrooms
CSCL '99 Proceedings of the 1999 conference on Computer support for collaborative learning
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
An Adaptive Energy Saving and Reliable Routing Protocol for Limited Power Sensor Networks
ACE '10 Proceedings of the 2010 International Conference on Advances in Computer Engineering
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Wireless Sensor Networks WSNs are becoming more important in the medical and environmental field. The authors propose an on-demand routing protocol using sensor attractiveness-metric Pa gradients for data forwarding decisions within the network. Attractiveness-based routing provides an efficient concept for data-centric routing in wireless sensor networks. The protocol works on-demand, is source-initiated, has a flat hierarchy and has its origin in the idea of pheromone-based routing. The algorithm supports node-to-sink data traffic and is therefore a lightweight approach to generalized multihop routing algorithms in WSNs. The performance evaluation of the proposed protocol is done by extensive simulation using a multi-agent based simulation environment called NetLogo. The efficiency of the attractiveness-based routing algorithm is compared in simulations with the well known Dynamic Source Routing algorithm DSR. The authors conclude that the Pabased routing algorithm is well suited for easy to set up WSNs because of its simplicity of implementation and its adaptability to different scenarios by adjustable weighting factors for the node's attractiveness metric.