Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions

被引:30
|
作者
Jabbar, Sohail [1 ]
Iram, Rabia [1 ]
Minhas, Abid Ali [1 ]
Shafi, Imran [1 ]
Khalid, Shehzad [1 ]
Ahmad, Muqeet [1 ]
机构
[1] Bahria Univ, Wireless Res Ctr, Islamabad 44220, Pakistan
来源
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2013年
关键词
NEURAL-NETWORKS; LOCALIZATION; EFFICIENCY; ALGORITHM; TRACKING; SEARCH; SCHEME;
D O I
10.1155/2013/421084
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing. The marvelous perfection of biological systems and its different aspects for optimized solutions for non-biological problems is presented here in detail. In the current research inclination, hiring of biological solutions to solve and optimize different aspects of artificial systems' problems has been shaped into an important field with the name of bio-inspired computing. We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends. We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural system. Interdisciplinary research is playing a splendid contribution for various problems' solving. The process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. Also the hybrid solutions from computational intelligence-based optimization are elongated to demonstrate the emergent involvement of these inspired systems with rich references for the interested readers. It is concluded that these perfect creations have remedies for most of the problems in non-biological system.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Routing in Wireless Sensor Networks Using Optimization Techniques: A Survey
    Al Aghbari, Zaher
    Khedr, Ahmed M.
    Osamy, Walid
    Arif, Ifra
    Agrawal, Dharma P.
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 111 (04) : 2407 - 2434
  • [32] Matrix Completion Optimization for Localization in Wireless Sensor Networks for Intelligent IoT
    Nguyen, Thu L. N.
    Shin, Yoan
    SENSORS, 2016, 16 (05)
  • [33] Underwater wireless sensor networks: a review of routing protocols, taxonomy, and future directions
    Gupta, Swati
    Singh, Niraj Pratap
    JOURNAL OF SUPERCOMPUTING, 2024, 80 (04) : 5163 - 5196
  • [34] Data Distribution Optimization Strategy in Wireless Sensor Networks With Edge Computing
    Li, Guozhi
    Song, Xuekun
    IEEE ACCESS, 2020, 8 : 214332 - 214345
  • [35] Green computing for wireless sensor networks: Optimization and Huffman coding approach
    Aanchal
    Kumar, Sushil
    Kaiwartya, Omprakash
    Abdullah, Abdul Hanan
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2017, 10 (03) : 592 - 609
  • [36] Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications
    Fadel, E.
    Faheem, M.
    Gungor, V. C.
    Nassef, L.
    Akkari, N.
    Malik, M. G. A.
    Almasri, S.
    Akyildiz, I. F.
    COMPUTER COMMUNICATIONS, 2017, 101 : 106 - 120
  • [37] A Bio-inspired Robust 3D Plume Tracking Strategy Using Mobile Sensor Networks
    Wu, Wencen
    Chang, Dongsik
    Zhang, Fumin
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 4571 - 4578
  • [38] Bio-Inspired Scheme of Killer Whale Hunting-Based Behaviour for Enhancing Performance of Wireless Sensor Network
    Parvathi, C.
    Talanki, Suresha
    DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT-2K19, 2020, 1079 : 341 - 357
  • [39] Intelligent ubiquitous computing model for energy optimization of cloud IOTs in sensor networks
    Deepa, S. N.
    INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS, 2022, 18 (01) : 18 - 42
  • [40] System-Theoretic Methods for Designing Bio-Inspired Mem-Computing Memristor Cellular Nonlinear Networks
    Ascoli, Alon
    Tetzlaff, Ronald
    Kang, Sung-Mo Steve
    Chua, Leon
    FRONTIERS IN NANOTECHNOLOGY, 2021, 3