The ant colony optimization meta-heuristic
New ideas in optimization
Ant algorithms for discrete optimization
Artificial Life
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Ant Colony Optimization
Ant Agents for Hybrid Multipath Routing in Mobile Ad Hoc Networks
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
An energy-efficient ant-based routing algorithm for wireless sensor networks
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
IEEE Communications Magazine
Routing algorithms for wireless sensor networks using ant colony optimization
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Energy-efficient and location-aware ant colony based routing algorithms for wireless sensor networks
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions
Information Sciences: an International Journal
Journal of Network and Computer Applications
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With the developments of computer and wireless communication technology, wireless sensor networks have broad application prospects in more and more fields. But sensor nodes are usually powered by a small size and limited battery. In this paper, we propose an pheromone based energy-aware directed diffusion algorithm(PEADD) for sensor networks. The algorithm uses pheromone of ants to improve the energy module in directed diffusion algorithm. The method has been implemented and performed experiments NS2. Our experimental results show the new algorithm extends the network lifetime and characteristics of our method. In the end, the future research directions are discussed.