Approximation algorithms for facility location problems (extended abstract)
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless integrated network sensors
Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Low-Power Wireless Sensor Networks
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
Distributed algorithms for guiding navigation across a sensor network
Proceedings of the 9th annual international conference on Mobile computing and networking
Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Sink repositioning for enhanced performance in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
Increasing base-station anonymity in wireless sensor networks
Ad Hoc Networks
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In wireless sensor networks, sensor readings are gathered at a gateway for processing and forwarding to a remote command center. The potential closeness of the gateway to dangerous events, e.g. fires, exposes it to damage and thus risks making the network dysfunctional. Therefore, protecting the gateway by repositioning it away from safety-hazardous spots is critical for the operation of the network. However, moving the gateway too far from the sensors that report on active events would have negative effect on the network performance, e.g. throughput and energy consumption. Therefore, balancing the gateway safety and network performance goals will be necessary. In this paper, we present GRISP, a novel Gateway Relocation algorithm for Improved Safety and Performance. GRISP employs an evolutionary neural network model to assess the safety of the gateway at the various locations. The model is then used to direct the search in an area of interest for a safer position that would enhance or at least maintain an acceptable level of network performance. In addition, GRISP guides the gateway during the move by finding safe paths leading to the new location. Our experimental validation results demonstrate the effectiveness of GRISP.