Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Synergy of Biology, Intelligent Systems, and Space Exploration
IEEE Intelligent Systems
Role-based hierarchical self organization for wireless ad hoc sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
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In this paper, we present a Top-Down/Bottom-Up (TDBU) design approach for critical damage reporting in intelligent sensor networks This approach is a minimal hierarchical decomposition of the problem, which seeks a balance between achievability and complexity Our simulated environment models two-dimensional square cells as autonomous agents which sense their local environment, reporting critical damage as rapidly as possible to a report delivery site (portal) by using only the adjacent-cell communication links The global goal is to design agent properties which will allow the multi-agent network to detect critical damage anywhere on the network and to communicate this information to a portal whose location is unknown to the agents We apply a TDBU approach together with genetic algorithms (GA) to address the global goal Simulations show that our system can successfully report critical damage much better than random methods.