Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Collective Intelligence and Braess' Paradox
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Ant Colony Optimization
Adaptive Routing for Sensor Networks using Reinforcement Learning
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Energy efficient AODV routing in CDMA ad hoc networks using beamforming
EURASIP Journal on Wireless Communications and Networking
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Energy-Efficient Beaconless Geographic Routing in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
QoS based routing in wireless sensor network with particle swarm optimization
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
BLR: beacon-less routing algorithm for mobile ad hoc networks
Computer Communications
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Sensor networks are traditionally built using battery-powered, collaborative devices. These sensor nodes do not rely on dedicated infrastructure services (e.g., routers) to relay data. Rather, a communal effort is employed where the sensor nodes both generate data as well as forward data for other nodes. A routing protocol is needed in order for the sensors to determine viable paths through the network, but routing protocols designed for wired networks and even ad hoc networks are not sufficient given the energy overhead needed to operate them. We propose an energy-aware routing protocol, based on overlapping swarms of particles, that offers reliable path selection while reducing the energy consumption for the route selection process. Our particle-based routing with overlapping swarms for energy-efficiency algorithm shows promise in extending the life of battery-powered networks while still providing robust routing functionality to maintain network reliability.