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
  • [61] He DP, 2013, IEEE IND ELEC, P5428, DOI 10.1109/IECON.2013.6700019
  • [62] A Distributed Q Learning Spectrum Decision Scheme for Cognitive Radio Sensor Network
    He, Jian
    Peng, Jun
    Jiang, Fu
    Qin, Gaorong
    Liu, Weirong
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [63] A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks
    He, Shibo
    Chen, Jiming
    Xu, Weiqiang
    Sun, Youxian
    Thulasiraman, Preetha
    Shen, Xuemin
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2010,
  • [64] Optimal Resource Allocation for Pervasive Health Monitoring Systems with Body Sensor Networks
    He, Yifeng
    Zhu, Wenwu
    Guan, Ling
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2011, 10 (11) : 1558 - 1575
  • [65] Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty
    Hou, Li-Qun
    Zhao, Xue-Feng
    Han, Rui-Cong
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
  • [66] QoSNET: An integrated QoS network for routing protocols in large scale wireless sensor networks
    Houngbadji, Therence
    Pierre, Samuel
    [J]. COMPUTER COMMUNICATIONS, 2010, 33 (11) : 1334 - 1342
  • [67] Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms
    Hu, Haigen
    Xu, Lihong
    Wei, Ruihua
    Zhu, Bingkun
    [J]. SENSORS, 2011, 11 (06) : 5792 - 5807
  • [68] A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy
    Hu, Haigen
    Xu, Lihong
    Zhu, Bingkun
    Wei, Rhihua
    [J]. SENSORS, 2011, 11 (03) : 3281 - 3302
  • [69] Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN
    Hu, Xiaoqing
    Bao, Ming
    Hu, Yu-Hen
    Xu, Bugong
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
  • [70] Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions
    Jabbar, Sohail
    Iram, Rabia
    Minhas, Abid Ali
    Shafi, Imran
    Khalid, Shehzad
    Ahmad, Muqeet
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,