SASHA: toward a self-healing hybrid sensor network architecture
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Policy-constrained bio-inspired processes for autonomic route management
Computer Networks: The International Journal of Computer and Telecommunications Networking
A bio-inspired distributed clustering algorithm for wireless sensor networks
Proceedings of the 4th Annual International Conference on Wireless Internet
A biologically inspired networking model for wireless sensor networks
IEEE Network: The Magazine of Global Internetworking - Special issue on biologically inspired networking
Attractor selection and perturbation for robust networks in fluctuating environments
IEEE Network: The Magazine of Global Internetworking - Special issue on biologically inspired networking
CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Duty Cycle Control for Low-Power-Listening MAC Protocols
IEEE Transactions on Mobile Computing
A Bio-inspired Distributed Routing Protocol for Wireless Sensor Networks: Performance Evaluation
ICDCSW '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems Workshops
Resilient multi-path routing based on a biological attractor selection scheme
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
MAC Essentials for Wireless Sensor Networks
IEEE Communications Surveys & Tutorials
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In this paper, we propose an energy efficient and delay guaranteed node coordination scheme inspired by biological systems, which have gained considerable attention as a computing and problem solving technique. With the identification of analogies between biological cellular signaling systems and WSN systems, we formulate a new mathematical model that considers the networking challenges of WSNs. The proposed bio-inspired scheme determines the state of the sensor node, as required by each mission-critical application and as determined by the local environmental conditions. A control analysis and simulation results show that the proposed bio-inspired scheme guarantees the system stability and provides significant energy savings, as well as reliable delay guarantees.