Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Next century challenges: mobile networking for “Smart Dust”
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
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Proceedings of the 3rd international symposium on Information processing in sensor networks
Data acquisition in multiple-sink sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Minimum power configuration in wireless sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Network correlated data gathering with explicit communication: NP-completeness and algorithms
IEEE/ACM Transactions on Networking (TON)
QoM and lifetime-constrained random deployment of sensor networks for minimum energy consumption
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
PIPENETa wireless sensor network for pipeline monitoring
Proceedings of the 6th international conference on Information processing in sensor networks
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Using sink mobility to increase wireless sensor networks lifetime
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Multiple Mobile Sinks Positioning in Wireless Sensor Networks for Buildings
SENSORCOMM '09 Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
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With their distributed nature and redundant operation capability, wireless sensor networks are very suitable for border surveillance scenarios that track intruders trying to breach to a safe side. In such scenarios, keeping the operation going on for as long as possible is the most important aspect of the network. We propose that by placing sink at a carefully selected coordinate will results in a longer living network. We also place restrictions on the candidate locations so that the sensing quality of the network is above a useful predetermined value and the sink is placed in a relatively safe location to avoid destruction. In order to find the suitable coordinates we propose a modified lifetime metric which takes quality and safety measures into account. We also propose a genetic algorithm which uses a discrete event simulator-in-the-loop over a three dimensional terrain to find locations for the sink that fits the given quality and safety restrictions. Using a three dimensional underlying terrain makes the proposed approach more realistic. The results obtained for various sensor network scenarios indicate that the proposed algorithm can find locations that increase the lifetime by also considering the sensing quality and safety.