Wireless Sensor Network Optimization: Multi-Objective Paradigm

被引:89
作者
Iqbal, Muhammad [1 ]
Naeem, Muhammad [1 ,2 ]
Anpalagan, Alagan [2 ]
Ahmed, Ashfaq [1 ]
Azam, Muhammad [1 ]
机构
[1] COMSATS Inst Informat Technol, Dept Elect Engn, Wah Cantt 47040, Pakistan
[2] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
algorithms; conflicting objectives; multi-objective optimization; wireless sensor network; PARTICLE SWARM OPTIMIZATION; ENERGY-EFFICIENT; EVOLUTIONARY APPROACH; TRADE-OFF; ROUTING ALGORITHMS; DIFFERENTIAL EVOLUTION; CLUSTERING-ALGORITHM; DESIGN OPTIMIZATION; POWER ASSIGNMENT; NODE PLACEMENT;
D O I
10.3390/s150717572
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planing and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks.
引用
收藏
页码:17572 / 17620
页数:49
相关论文
共 207 条
  • [41] Route planning and user interface for an advanced intelligent transport system
    Di Lecce, V.
    Amato, A.
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2011, 5 (03) : 149 - 158
  • [42] Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks
    Djenouri, Djamel
    Balasingham, Ilangko
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2011, 10 (06) : 797 - 809
  • [43] Routing Optimization in Vehicular Networks: A New Approach Based on Multiobjective Metrics and Minimum Spanning Tree
    Fazio, Peppino
    De Rango, Floriano
    Sottile, Cesare
    Santamaria, Amilcare Francesco
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
  • [44] Adaptive design optimization of wireless sensor networks using genetic algorithms
    Ferentinos, Konstantinos P.
    Tsiligiridis, Theodore A.
    [J]. COMPUTER NETWORKS, 2007, 51 (04) : 1031 - 1051
  • [45] Optimal design of sensor networks for vehicle detection, classification, and monitoring
    Field, R. V., Jr.
    Grigoriu, M.
    [J]. PROBABILISTIC ENGINEERING MECHANICS, 2006, 21 (04) : 305 - 316
  • [46] Fast-Lipschitz Optimization With Wireless Sensor Networks Applications
    Fischione, Carlo
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2011, 56 (10) : 2319 - 2331
  • [47] Gao W., 2011, VEH TECHN C VTC FALL, P1
  • [48] On the Optimization of Wireless Multimedia Sensor Networks: A Goal Programming Approach
    Garcia-Sanchez, Antonio-Javier
    Garcia-Sanchez, Felipe
    Rodenas-Herraiz, David
    Garcia-Haro, Joan
    [J]. SENSORS, 2012, 12 (09) : 12634 - 12660
  • [49] Ghosh A., 2004, International Journal of Computing and Information Sciences, V2, P38, DOI DOI 10.1007/S10589-014-9644-1
  • [50] Fault Tolerance Analysis of Surveillance Sensor Systems
    Gokce, Elif I.
    Shrivastava, Abhishek K.
    Ding, Yu
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2013, 62 (02) : 478 - 489