An Improved Routing Algorithm Based on Energy Efficient Ant Colony

被引:1
作者
Fan, Xunli [1 ]
Zhang, Xiaoyun [1 ]
Du, Feifei [1 ]
机构
[1] Northwest Univ, Sch Informat Sci & Technol, Xian, Shaanxi, Peoples R China
来源
JOURNAL OF INTERNET TECHNOLOGY | 2019年 / 20卷 / 02期
关键词
Ant-Colony; EEABR; Wireless sensor network; Routing; AD-HOC NETWORKS; OPTIMIZATION; PROTOCOLS;
D O I
10.3966/160792642019032002025
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the problem that the existing multi-path routing protocol in the MANETs can't offer high-quality services with increasing the number of nodes and speed, an improved algorithm is proposed based on EnergyEfficient Ant-Based Routing Algorithm (EEABR) through Ant-Colony algorithm (ACA) in this paper. The improved algorithm makes improvement on packet structure and the way of updating pheromone. In order to save the energy consumption caused by the field redundancy in EEABR, based on the different tasks of the forward ant and the backward ant, the algorithm proposed in this paper designs two kinds of reasonable packet structures. The pheromone updating is added to the tasks of the forward ant in this algorithm to speed up the convergence rate. The path length is considered when pheromone updating is executed by the backward ant, the ants release more pheromones on the node which is closer to the destination, which makes the destination node is more likely to be found and speeds up the convergence rate. The improved algorithm shows higher superiority on energy consumption and prolonging the network lifetime than EEABR.
引用
收藏
页码:581 / 587
页数:7
相关论文
共 23 条
  • [1] Self-Adaptive and Adaptive Parameter Control in Improved Artificial Bee Colony Algorithm
    Afsar, Bekir
    Aydin, Dogan
    Ugur, Aybars
    Korukoglu, Serdar
    [J]. INFORMATICA, 2017, 28 (03) : 415 - 438
  • [2] An Overview of Data Routing Approaches for Wireless Sensor Networks
    Anisi, Mohammad Hossein
    Abdullah, Abdul Hanan
    Razak, Shukor Abd
    Ngadi, Md. Asri
    [J]. SENSORS, 2012, 12 (04) : 3964 - 3996
  • [3] [Anonymous], J INTERNET TECHNOLOG
  • [4] Charles A., 2015, RES J APPL SCI ENG T, V11, P48
  • [5] Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network
    Chatterjee, Shubhajeet
    Das, Swagatam
    [J]. INFORMATION SCIENCES, 2015, 295 : 67 - 90
  • [6] Dorigo M., 2011, J ARTIFICIAL INTELLI, V9, P317
  • [7] ARA -: The ant-colony based routing algorithm for MANETs
    Günes, M
    Sorges, U
    Bouazizi, I
    [J]. 2002 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, PROCEEDINGS OF THE WORKSHOPS, 2002, : 79 - 85
  • [8] Han B, 2012, OPTOELECTRON ADV MAT, V6, P551
  • [9] Ant routing algorithm for mobile ad-hoc networks (ARAMA)
    Hussein, O
    Saadawi, T
    [J]. 2003 IEEE INTERNATIONAL PERFORMANCE, COMPUTING, AND COMMUNICATIONS CONFERENCE PROCEEDINGS, 2003, : 281 - 290
  • [10] Game-theoretic models for reliable path-length and energy-constrained routing with data aggregation in wireless sensor networks
    Kannan, R
    Iyengar, SS
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2004, 22 (06) : 1141 - 1150