Swarm intelligence: power in numbers
Communications of the ACM - Evolving data mining into solutions for insights
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Wireless Sensor Networks
Energy efficient all-to-all broadcast in all-wireless networks
Information Sciences: an International Journal
Energy-quality tradeoffs for target tracking in wireless sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
A biologically inspired sensor wakeup control method for wireless sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A ladder diffusion algorithm using ant colony optimization for wireless sensor networks
Information Sciences: an International Journal
BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks
Information Sciences: an International Journal
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
Emergent Behaviors of Protector, Refugee, and Aggressor Swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Guest Editorial Self-Organizing Distributed Collaborative Sensor Networks
IEEE Journal on Selected Areas in Communications
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The distributed node wakeup of wireless sensor networks is in the scope of collaborative optimization. Our recently-proposed artificial ant-colony (AAC) wakeup method for sensing modules (SMs) shows that the biologically-inspired idea is promising in significantly decreasing energy consumption while remaining the similar sensing performance, compared with the classical methods. However, the AAC method is hardly extended to the joint wakeup of SMs and communication modules (CMs) because the pheromone in the AAC cannot discern information from SMs or CMs. In other words, a novel biologically-inspired mechanism is needed. Inspired by the mechanism of disease propagation, a distributed infectious disease model (DIDM) is proposed including four sub-processes: direct infection, cross-infection immunity/immune deficiency, cross infection, and virus accumulation. Moreover, the DIDM based wakeup method is derived through establishing the correspondence between sensor wakeup and disease propagation. Besides, one theorem about parameter design is presented, exploiting the relationship among sensor properties, communication properties, performance requirements and the method parameters. The target-tracking simulation shows the effectiveness of our method.