Research of energy efficient QoS WSN routing protocol based on multi-objective genetic algorithm

被引：0
作者：
Chen, Hongsheng [1 ]
Cui, Guangcai [1 ]
Sun, Hongyu [2 ]
机构：
[1] School of Computer Science and Technology, Changchun University of Science and Technology, Changchun
[2] School of Computer Science and Technology, Jilin University, Changchun
来源：
Journal of Information and Computational Science | 2014年 / 11卷 / 17期
关键词：
Computer System Organization; Energy Efficient; Genetic Algorithm; QoS;
D O I：
10.12733/jics20104949
中图分类号：
学科分类号：
摘要：
In order to prolong the lifecycle, increase the Quality of Service (QoS) and enlarge the scale of WSNs, a hybrid distance-path routing mechanism was proposed, and the energy efficient QoS routing protocol based on multi-objective genetic algorithm was designed. In this protocol, the use of multi-objective genetic algorithm and distance vector updates routing table and optimize network QoS parameters, thus reducing network communication energy consumption, improve the network Quality of Service (QoS); the use of path vector enlarge the scale of WSN. Mathematical analysis and experimental results show that the protocol is efficient, the network life cycle was prolonged, the average network transmission delay was reduced, and the network reliability was enhanced. ©, 2014, Binary Information Press.
引用
收藏
页码：6077 / 6084
页数：7
相关论文
共 50 条
  • [41] Hybrid Multi-Objective Genetic Algorithm for Multi-Objective Optimization Problems
    Zhang, Song
    Wang, Hongfeng
    Yang, Di
    Huang, Min
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1970 - 1974
  • [42] Multi-objective reactive scheduling based on genetic algorithm
    Tanimizu, Yoshitaka
    Miyamae, Tsuyoshi
    Sakaguchi, Tatsuhiko
    Iwamura, Koji
    Sugimura, Nobuhiro
    TOWARDS SYNTHESIS OF MICRO - /NANO - SYSTEMS, 2007, (05): : 65 - +
  • [43] A Multi-Objective Optimization Algorithm for the QoS of Cloud Storage
    Fu, Hongjie
    FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013), 2013, : 490 - 498
  • [44] Proposed Energy Efficient Algorithm for Clustering and Routing in WSN
    Morsy, Nehad A.
    AbdelHay, Ehab H.
    Kishk, Sherif S.
    WIRELESS PERSONAL COMMUNICATIONS, 2018, 103 (03) : 2575 - 2598
  • [45] Proposed Energy Efficient Algorithm for Clustering and Routing in WSN
    Nehad A. Morsy
    Ehab H. AbdelHay
    Sherif S. Kishk
    Wireless Personal Communications, 2018, 103 : 2575 - 2598
  • [46] Energy optimized micro genetic algorithm based LEACH protocol for WSN
    Radhika, M.
    Sivakumar, P.
    WIRELESS NETWORKS, 2021, 27 (01) : 27 - 40
  • [47] A Novel approach to an Energy aware Routing Protocol for Mobile WSN: QoS Provisioning
    Sujeethnanda, M.
    Nayak, Padmalaya
    Ramamurthy, G.
    2012 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC), 2012, : 38 - 41
  • [48] Research on mixed model assembly line sequencing based on multi-objective genetic algorithm
    Yuan, Minghai
    Li, Dongbo
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007, VOLS 1 AND 2, 2007, : 2110 - 2115
  • [49] Research on Cluster Routing Protocol Based on Genetic Algorithm and Astar Algorithm
    Shao, Wenqian
    Jia, Songhao
    Yang, Cai
    Shangguan, Tonghang
    Informatica (Slovenia), 2024, 48 (14): : 219 - 232
  • [50] Energy optimized micro genetic algorithm based LEACH protocol for WSN
    M. Radhika
    P. Sivakumar
    Wireless Networks, 2021, 27 : 27 - 40
12345