Integrated Topology Management in Flying Ad Hoc Networks: Topology Construction and Adjustment

被引:42
|
作者
Kim, Do-Yup [1 ]
Lee, Jang-Won [1 ]
机构
[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 03722, South Korea
来源
IEEE ACCESS | 2018年 / 6卷
基金
新加坡国家研究基金会;
关键词
Flying ad hoc network (FANET); gradient descent; particle swarm optimization (PSO); relay deployment; topology edit distance; topology management; unmanned aerial vehicle (UAV); UAV deployment; UAV movement; WIRELESS SENSOR NETWORKS; RELAY NODE PLACEMENT; OPTIMIZATION; CONNECTIVITY; DEPLOYMENT; ALGORITHM; PROTOCOLS;
D O I
10.1109/ACCESS.2018.2875679
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Flying ad hoc networks (FANETs) that consist of multiple unmanned aerial vehicles (UAVs) are promising technologies for future networked systems due to the versatility of UAVs. One of the most distinguishing features of FANET is frequent and rapid topological fluctuations due to the high-mobility of UAVs. Hence, the topology management adapting to the movements of UAVs is one of the most critical issues in FANET. In this paper, we study a FANET topology management problem that optimizes the locations and movements of UAVs to maximize the network performance, adapting to the topological changes while UAVs carry out their missions. When formulating the problem, we take into account the routing protocol as an arbitrary function since the network performance is inseparably linked with the routing protocol in use. We first develop two algorithms. One is the topology construction algorithm, which constructs a FANET topology from the scratch without any given initial topology, based on particle swarm optimization. The other is the topology adjustment algorithm, which incrementally adjusts the FANET topology adapting to the movements of UAVs with low-computational costs, based on gradient descent. Then, by defining a logical distance (the so-called topology edit distance) that measures the degree of changes in FANET topology, we develop an integrated topology management algorithm that contains the topology construction and adjustment algorithms. The simulation results show that our algorithm achieves a good network performance with low computational overhead, which is one of the most essential virtues in FANETs with rapidly varying topology.
引用
收藏
页码:61196 / 61211
页数:16
相关论文
共 50 条
  • [41] On the fundamental limits of topology control in ad hoc networks
    Farago, Andras
    ALGORITHMICA, 2007, 49 (04) : 337 - 356
  • [42] Adaptive Topology Control for Mobile Ad Hoc Networks
    Jeng, Andy An-Kai
    Jan, Rong-Hong
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 22 (12) : 1953 - 1960
  • [43] Topology Control in Cooperative Ad Hoc Wireless Networks
    Neves, T. F.
    Bordim, J. L.
    ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2014, 302 : 29 - 51
  • [44] Topology control in heterogeneous mobile ad hoc networks
    Abbas, AM
    Jain, BN
    2005 IEEE INTERNATIONAL CONFERENCE ON PERSONAL WIRELESS COMMUNICATIONS, 2005, : 47 - 51
  • [45] The Effects of Topology on the Local Throughput of Ad Hoc Networks
    Hoydis, Jakob
    Petrova, Marina
    Maehoenen, Petri
    AD HOC & SENSOR WIRELESS NETWORKS, 2009, 7 (3-4) : 337 - 347
  • [46] Topology control in heterogeneous ad-hoc networks
    Srivastava, G
    Boustead, P
    Chicharo, JF
    2004 12TH IEEE INTERNATIONAL CONFERENCE ON NETWORKS, VOLS 1 AND 2 , PROCEEDINGS: UNITY IN DIVERSITY, 2004, : 665 - 670
  • [47] Adaptive Link Cost Reduction by Generic Topology Construction in Ad-Hoc Networks
    Chen, Reu-Ching
    Lin, Cheng-Min
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, PROCEEDINGS, 2009, 5574 : 721 - 728
  • [48] A Q-Learning-Based Topology-Aware Routing Protocol for Flying Ad Hoc Networks
    Arafat, Muhammad Yeasir
    Moh, Sangman
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (03): : 1985 - 2000
  • [49] Topology Control Using Distributed Power Management Algorithm for Mobile Ad Hoc Networks
    Pradhan, Nuraj
    Saadawi, Tarek
    2009 INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS, 2009, : 317 - 322
  • [50] Cluster-Based Dynamic Topology Management in Cognitive Radio Ad Hoc Networks
    Zhang, Jian-zhao
    Yao, Fu-qiang
    Zhao, Hang-sheng
    Wang, Fan
    FREQUENZ, 2011, 65 (3-4) : 109 - 119