Pareto-based evolutionary computational approach for wireless sensor placement

[1]  Hu Ning,et al.  Optimized placement of nodes for target detection in sensor networks , 2007 .

[2]  Tei-Wei Kuo,et al.  Search-Oriented Deployment Strategies for Wireless Sensor Networks , 2007, 10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07).

[3]  S. Hussain,et al.  Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks , 2007, Fourth International Conference on Information Technology (ITNG'07).

[4]  Guiran Chang,et al.  Coverage Optimization based on Improved NSGA-II in Wireless Sensor Network , 2007, 2007 IEEE International Conference on Integration Technology.

[5]  Sami J. Habib.  Modeling and simulating coverage in sensor networks , 2007, Comput. Commun..

[6]  Konstantinos P. Ferentinos,et al.  Adaptive design optimization of wireless sensor networks using genetic algorithms , 2007, Comput. Networks.

[7]  Ratan K. Guha,et al.  Optimal Placement of Wireless Sensor Nodes with Fault Tolerance and Minimal Energy Consumption , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[8]  Radha Poovendran,et al.  Stochastic coverage in heterogeneous sensor networks , 2006, TOSN.

[9]  L. Ni,et al.  Power-Aware Node Deployment in Wireless Sensor Networks , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[10]  Xin Yao,et al.  A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[11]  Jie Wu,et al.  Energy-efficient coverage problems in wireless ad-hoc sensor networks , 2006, Comput. Commun..

[12]  Keith J. Blow,et al.  Radio range adjustment for energy efficient wireless sensor networks , 2006, Ad Hoc Networks.

[13]  Himanshu Gupta,et al.  Fault tolerant connected sensor cover with variable sensing and transmission ranges , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[14]  Pei-Ling Chiu,et al.  A simulated annealing algorithm for energy-efficient sensor network design , 2005, Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05).

[15]  Weili Wu,et al.  Energy-efficient target coverage in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[16]  Nicholas J. Radcliffe,et al.  Genetic set recombination and its application to neural network topology optimisation , 1993, Neural Computing & Applications.

[17]  R. Al-Hmouz,et al.  Optimal Placement for Opportunistic Cameras Using Genetic Algorithm , 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[18]  Risto Miikkulainen,et al.  Competitive Coevolution through Evolutionary Complexification , 2011, J. Artif. Intell. Res..

[19]  Kay Römer,et al.  The design space of wireless sensor networks , 2004, IEEE Wireless Communications.

[20]  Himanshu Gupta,et al.  Variable radii connected sensor cover in sensor networks , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[21]  Olivier L. de Weck,et al.  Multi-objective genetic algorithm for the automated planning of a wireless sensor network to monitor a critical facility , 2004, SPIE Defense + Commercial Sensing.

[22]  Deborah Estrin,et al.  Guest Editors' Introduction: Overview of Sensor Networks , 2004, Computer.

[23]  Bruce H. Krogh,et al.  Energy-efficient surveillance system using wireless sensor networks , 2004, MobiSys '04.

[24]  L. L. Zhang,et al.  Optimal placement of sensors for structural health monitoring using improved genetic algorithms , 2004 .

[25]  David Simplot-Ryl,et al.  Energy-efficient area monitoring for sensor networks , 2004, Computer.

[26]  Tian He,et al.  Differentiated surveillance for sensor networks , 2003, SenSys '03.

[27]  Bhaskar Krishnamachari,et al.  Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks , 2003, IPSN.

[28]  Ramez Elmasri,et al.  Optimizing clustering algorithm in mobile ad hoc networks using simulated annealing , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[29]  Suman Banerjee,et al.  Node Placement for Connected Coverage in Sensor Networks , 2003 .

[30]  Peng-Jun Wan,et al.  Distributed Construction of Connected Dominating Set in Wireless Ad Hoc Networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[31]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[32]  Krishna M. Sivalingam,et al.  Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications , 2002 .

[33]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[34]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[35]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[36]  Arthur L. Liestman,et al.  Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks , 2002, MobiHoc '02.

[37]  Peng-Jun Wan,et al.  Message-optimal connected dominating sets in mobile ad hoc networks , 2002, MobiHoc '02.

[38]  Risto Miikkulainen,et al.  Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.

[39]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[40]  Marco Laumanns,et al.  SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization , 2002 .

[41]  Jie Wu,et al.  A Dominating-Set-Based Routing Scheme in Ad Hoc Wireless Networks , 2001, Telecommun. Syst..

[42]  Miodrag Potkonjak,et al.  Coverage problems in wireless ad-hoc sensor networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[43]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[44]  Rudolf Mathar,et al.  Optimum positioning of base stations for cellular radio networks , 2000, Wirel. Networks.

[45]  Wenke Lee,et al.  Intrusion detection in wireless ad-hoc networks , 2000, MobiCom '00.

[46]  Bruce A. Draper,et al.  A system to place observers on a polyhedral terrain in polynomial time , 2000, Image Vis. Comput..

[47]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[48]  David Corne,et al.  The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[49]  Peter J. Fleming,et al.  Multiobjective genetic algorithms made easy: selection sharing and mating restriction , 1995 .

[50]  Peter J. Fleming,et al.  An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.

[51]  Peter J. Fleming,et al.  Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.

[52]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[53]  Kalyanmoy Deb,et al.  An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.

[54]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .