Simulated Annealing Approach for Mesh Router Placement in Rural Wireless Mesh Networks

被引:0
|
作者
Ebongue, Jean Louis Fendji Kedieng [1 ]
Thron, Christopher [2 ]
Nlong, Jean Michel [1 ]
机构
[1] Univ Ngaoundere, Comp Sci, Ngaoundere, Cameroon
[2] Texas A&M Univ Cent Texas, Killeen, TX USA
来源
关键词
Simulated annealing; Mesh router placement; Rural Wireless Mesh Networks; OPTIMIZATION;
D O I
10.1007/978-3-319-43696-8_19
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A critical issue in the planning of Wireless Mesh Networks is the determination of the optimal number and location of mesh router nodes. In this paper, we consider a network model in which the area to cover is decomposed into a set of elementary areas which may be covered; where a node may be placed; and which may be an obstacle for the connectivity. The aim is therefore to determine an optimal number and the positions of mesh router nodes which maximize the coverage of areas of interest, minimize the number of routers while ensuring the connectivity of the network. To achieve this, an approach based on Simulated Annealing algorithm is proposed. It is evaluated on different region instances. It provides area of interest coverage around 98 % with an optimal number of routers 1.3 times the minimum number of router corresponding to the ratio between the area to cover and the area covered by a router.
引用
收藏
页码:192 / 202
页数:11
相关论文
共 50 条
  • [41] A Genetic Approach for Gateway Placement in Wireless Mesh Networks
    Ahmed, Awadallah M.
    Hashim, Aisha Hassan A.
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2015, 15 (07): : 11 - 19
  • [42] Optimal placement of mesh points in wireless mesh networks
    Hui, Suk Yu
    Yeung, Kai Hau
    Wong, Kin Yeung
    NETWORKING 2008: AD HOC AND SENSOR NETWORKS, WIRELESS NETWORKS, NEXT GENERATION INTERNET, PROCEEDINGS, 2008, 4982 : 848 - +
  • [43] An efficient mesh router nodes placement in wireless mesh networks based on moth-flame optimization algorithm
    Nouri, Nabil Abdelkader
    Aliouat, Zibouda
    Naouri, Abdenacer
    Hassak, Soufiene ali
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2023, 36 (08)
  • [44] A novel approach for the router nodes placement in wireless mesh networks using phasing with approximation optimization algorithms
    Binh, Le Huu
    Duong, Thuy-Van T.
    Ngo, Vuong M.
    PLOS ONE, 2025, 20 (01):
  • [45] A hound-inspired pre-hybridized genetic approach for router placement in wireless mesh networks
    D'Angelo, Gianni
    Palmieri, Francesco
    APPLIED SOFT COMPUTING, 2024, 166
  • [46] Load-balanced mesh router migration for wireless mesh networks
    Xie, Bin
    Yu, Yingbing
    Kumar, Anup
    Agrawal, Dharma P.
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2008, 68 (06) : 825 - 839
  • [47] Mesh Router Nodes Placement for Wireless Mesh Networks Based on an Enhanced Moth-Flame Optimization Algorithm
    Taleb, Sylia Mekhmoukh
    Meraihi, Yassine
    Mirjalili, Seyedali
    Acheli, Dalila
    Ramdane-Cherif, Amar
    Gabis, Asma Benmessaoud
    MOBILE NETWORKS & APPLICATIONS, 2023, 28 (02): : 518 - 541
  • [48] An Electromagnetism-like mechanism algorithm for the router node placement in wireless mesh networks
    Sayad, Lamri
    Bouallouche-Medjkoune, Louiza
    Aissani, Djamil
    SOFT COMPUTING, 2019, 23 (12) : 4407 - 4419
  • [49] An Electromagnetism-like mechanism algorithm for the router node placement in wireless mesh networks
    Lamri Sayad
    Louiza Bouallouche-Medjkoune
    Djamil Aissani
    Soft Computing, 2019, 23 : 4407 - 4419
  • [50] Analysis of mesh router placement in wireless mesh networks using Friedman test considering different meta-heuristics
    Oda, Tetsuya
    Liu, Yi
    Sakamoto, Shinji
    Elmazi, Donald
    Barolli, Leonard
    Xhafa, Fatos
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2015, 15 (01) : 84 - 106