Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Routing in Wireless Sensor Networks Using Ant Colony Optimization
AHS '06 Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems
Self-Organized Data-Gathering Scheme for Multi-Sink Sensor Networks Inspired by Swarm Intelligence
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
A Routing Strategy Based on Ant Algorithm for WSN
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 05
An Ant Colony Algorithm for Data Aggregation in Wireless Sensor Networks
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Placement of network services in a sensor network
International Journal of Wireless and Mobile Computing
A distributed clustering method for energy-efficient data gathering in sensor networks
International Journal of Wireless and Mobile Computing
Distributed energy-efficient geographic multicast for Wireless Sensor Networks
International Journal of Wireless and Mobile Computing
A self-organising algorithm for sensor placement in wireless mobile microsensor networks
International Journal of Wireless and Mobile Computing
Towards Bio-Inspired Self-Organization in Sensor Networks: Applying the Ant Colony Algorithm
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
ICDCN '09 Proceedings of the 10th International Conference on Distributed Computing and Networking
Ant colony-based many-to-one sensory data routing in Wireless Sensor Networks
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
BeeSensor: A Bee-Inspired Power Aware Routing Protocol for Wireless Sensor Networks
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Bio-inspired computing: constituents and challenges
International Journal of Bio-Inspired Computation
Dynamic task scheduling with load balancing using parallel orthogonal particle swarm optimisation
International Journal of Bio-Inspired Computation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 3 - Volume 3
Small-world effects in wireless agent sensor networks
International Journal of Wireless and Mobile Computing
Agents in Service-Oriented Wireless Sensor Networks
International Journal of Wireless and Mobile Computing
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
Control of dead-time systems using derivative free particle swarm optimisation
International Journal of Bio-Inspired Computation
Biologically inspired confinement of multi-robot systems
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Optimal design of multilayered composite plate using bio-inspired optimisation techniques
International Journal of Bio-Inspired Computation
Multi-state reliability and message time delay in wireless sensor networks
International Journal of Wireless and Mobile Computing
Computational Intelligence in Wireless Sensor Networks: A Survey
IEEE Communications Surveys & Tutorials
Bio-inspired optimisation approach for data association in target tracking
International Journal of Wireless and Mobile Computing
A big data based data storage systems for rock burst experiment
International Journal of Wireless and Mobile Computing
A hybrid intelligent data classification algorithm
International Journal of Wireless and Mobile Computing
International Journal of Wireless and Mobile Computing
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In order to gather the monitoring data with load and energy consumption balance in wireless sensor networks (WSNs) and prolong its lifetime, a data gathering strategy was proposed based on ant colony algorithm. After the sensor nodes were divided into many sub-sets, the global updating of pheromone was achieved in the course of transmission of packet, which was mapped to global ant, and local updating was made to obtain new information of neighbours; then the heuristic function was constructed with energy, distance and hops. According to pheromone track and heuristic information, the packet independently chose the next hop node without the establishment and maintenance of the routing tables. The simulation results show that the algorithm can effectively balance network load and energy consumption, and induce 9.4% additional energy consumption, what has little influence on the network energy efficiency.