A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks

A Wireless Sensor Network (WSN) design often requires the decision of optimal locations (deployment) and transmit power levels (power assignment) of the sensors to be deployed in an area of interest. Few attempts have been made on optimizing both decision variables for maximizing the network coverage and lifetime objectives, even though, most of the latter studies consider the two objectives individually. This paper defines the multiobjective Deployment and Power Assignment Problem (DPAP). Using the Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), the DPAP is decomposed into a set of scalar subproblems that are classified based on their objective preference and tackled in parallel by using neighborhood information and problem-specific evolutionary operators, in a single run. The proposed operators adapt to the requirements and objective preferences of each subproblem dynamically during the evolution, resulting in significant improvements on the overall performance of MOEA/D. Simulation results have shown the superiority of the problem-specific MOEA/D against the NSGA-II in several network instances, providing a diverse set of high quality network designs to facilitate the decision maker's choice.

[1]  R. K. Ursem.  Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[2]  Andrea E. F. Clementi,et al.  Hardness Results for the Power Range Assignmet Problem in Packet Radio Networks , 1999, RANDOM-APPROX.

[3]  Qingfu Zhang,et al.  An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[4]  Mohamed F. Younis,et al.  Strategies and techniques for node placement in wireless sensor networks: A survey , 2008, Ad Hoc Networks.

[5]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[6]  Gee Wah Ng,et al.  Multiobjective optimization of sensor network deployment by a genetic algorithm , 2007, 2007 IEEE Congress on Evolutionary Computation.

[7]  S. Sitharama Iyengar,et al.  On efficient deployment of sensors on planar grid , 2007, Comput. Commun..

[8]  Stavros Toumpis,et al.  Mother nature knows best: A survey of recent results on wireless networks based on analogies with physics , 2008, Comput. Networks.

[9]  Dario Pompili,et al.  On the interdependence of distributed topology control and geographical routing in ad hoc and sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[10]  Aura Ganz,et al.  On the lifetime of large scale sensor networks , 2006, Comput. Commun..

[11]  DebK.,et al.  A fast and elitist multiobjective genetic algorithm , 2002 .

[12]  Xiuzhen Cheng,et al.  Strong Minimum Energy Topology in Wireless Sensor Networks: NP-Completeness and Heuristics , 2003, IEEE Trans. Mob. Comput..

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

[14]  D.B. Jourdan,et al.  Layout optimization for a wireless sensor network using a multi-objective genetic algorithm , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[15]  Qingfu Zhang,et al.  An evolutionary algorithm with guided mutation for the maximum clique problem , 2005, IEEE Transactions on Evolutionary Computation.

[16]  Jian Chen,et al.  Multi-objective optimization for coverage control in wireless sensor network with adjustable sensing radius , 2009, Comput. Math. Appl..

[17]  Prasant Mohapatra,et al.  On the deployment of wireless data back-haul networks , 2007, IEEE Transactions on Wireless Communications.

[18]  Richard R. Brooks.  Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems , 2008 .

[19]  Chen-Nee Chuah,et al.  Network configuration for optimal utilization efficiency of wireless sensor networks , 2008, Ad Hoc Networks.

[20]  Leandros Tassiulas,et al.  Optimal deployment of large wireless sensor networks , 2006, IEEE Transactions on Information Theory.

[21]  Feng Xia,et al.  Deployment Issues in Wireless Sensor Networks , 2005, MSN.

[22]  Paolo Santi.  Topology control in wireless ad hoc and sensor networks , 2005 .

[23]  Martin J. Oates,et al.  Advanced Multi-Objective Evolutionary Algorithms Applied to Two Problems in Telecommunications , 2000 .

[24]  Guiran Chang,et al.  Energy efficient coverage control in wireless sensor networks based on multi-objective genetic algorithm , 2009, Comput. Math. Appl..

[25]  Sartaj Sahni,et al.  Approximation Algorithms for Sensor Deployment , 2007, IEEE Transactions on Computers.

[26]  Marco Laumanns,et al.  Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..

[27]  F. Glover,et al.  Handbook of Metaheuristics , 2019, International Series in Operations Research & Management Science.

[28]  Peter Widmayer,et al.  Evolutionary multiobjective optimization for base station transmitter placement with frequency assignment , 2003, IEEE Trans. Evol. Comput..

[29]  Mihaela Cardei,et al.  Energy-Efficient Range Assignment in Heterogeneous Wireless Sensor Networks , 2006, 2006 International Conference on Wireless and Mobile Communications (ICWMC'06).

[30]  Chang Wook Ahn,et al.  A genetic algorithm for shortest path routing problem and the sizing of populations , 2002, IEEE Trans. Evol. Comput..

[31]  Stefano Chessa,et al.  Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards , 2007, Comput. Commun..

[32]  Chen Xia.  Optimization of Navigation Constellation by a Multi-objective Evolutionary Algorithm Based On Decomposition , 2012 .

[33]  Paolo Santi,et al.  A probabilistic analysis for the range assignment problem in ad hoc networks , 2001, MobiHoc '01.

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

[35]  Mohammad Ilyas,et al.  Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems , 2004 .

[36]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[37]  Qingfu Zhang,et al.  Energy-aware topology control for wireless sensor networks using memetic algorithms , 2007, Comput. Commun..

[38]  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).

[39]  Guoliang Xing,et al.  Integrated coverage and connectivity configuration in wireless sensor networks , 2003, SenSys '03.

[40]  Michel Gendreau,et al.  Handbook of Metaheuristics , 2010 .

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

[42]  Chen-Nee Chuah,et al.  Energy-aware node placement in wireless sensor networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[43]  Kamyoung Kim,et al.  A Multiobjective Evolutionary Algorithm for Surveillance Sensor Placement , 2008 .

[44]  S. Sitharama Iyengar,et al.  Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks , 2002, IEEE Trans. Computers.

[45]  Qingfu Zhang,et al.  MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.