A bidirectional congestion control transport protocol for the internet of drones

被引:28
|
作者
Sharma, Bhisham [1 ]
Srivastava, Gautam [2 ,3 ]
Lin, Jerry Chun-Wei [4 ]
机构
[1] Chitkara Univ, Sch Engn & Technol, Baddi, Himachal Prades, India
[2] Brandon Univ, Dept Math & Comp Sci, Brandon, MB R7A 6A9, Canada
[3] China Med Univ, Res Ctr Interneural Comp, Taichung 40402, Taiwan
[4] Western Norway Univ Appl Sci, Dept Comp Sci Elect Engn & Math Sci, N-5063 Bergen, Norway
关键词
Wireless sensor networks; Transport layer protocols; Internet of drones; Sensor nodes; Motes; TOPSIS; Energy efficiency; Fairness; UAV; WIRELESS SENSOR NETWORKS; DATA-TRANSMISSION; RELIABILITY; SCHEME; MANAGEMENT; AVOIDANCE; QUALITY; SERVICE; HYBRID;
D O I
10.1016/j.comcom.2020.01.072
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless sensor networks (WSNs) are composed of energy constrained devices that autonomously form networks through which sensed information is transported from the region of interest to the central control station (sink), integration with unmanned aerial vehicles (UAVs) leads to enlarged monitoring area and to enhance overall network performance. Due to application specific nature of wireless sensor networks, it is challenging to design a congestion control protocol that is suitable for all types of applications in the Internet of Drones (IoD). Congestion avoidance and control in wireless sensor networks mainly aims at reducing packet drop due to congestion and maintaining fair bandwidth allocation to all network flows. In this research work, we propose a reliable and congestion based protocol, which provides both bidirectional reliability and rate adjustment based congestion control. It uses Technique for Order Preference by Similarly to Ideal Solution (TOPSIS) method to select optimal path for data transmission because TOPSIS selects an alternative such that it has shortest distance from the ideal one and greatest distance from negative ideal solution. Congestion is detected by using proportion of average packet service time over average packet inter-arrival time as congestion degree. Then, congestion is notified using implicit notification to save energy and reduce overhead. To mitigate congestion along with maintaining fairness, an equal priority index is assigned to all data sources and when congestion occurs, rate adjustment to optimal value based on priority value is used for congestion control. This approach helps to diminish packet drops, maintain fairness and get better energy efficiency. Finally, we compare the performance of the proposed protocol with that of existing protocols. Our simulation results show reduced average delivery overhead, drop packet ratio, queue length and delay with increased average delivery ratio. Moreover, our protocol provides better energy efficiency and fairness when compared with the existing competing protocols.
引用
收藏
页码:102 / 116
页数:15
相关论文
共 50 条
  • [31] QoS-Aware Power Control in Internet of Drones for Data Collection Service
    Yao, Jingjing
    Ansari, Nirwan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (07) : 6649 - 6656
  • [32] Quantum-Safe Secure and Authorized Communication Protocol for Internet of Drones
    Mishra, Dheerendra
    Singh, Mrityunjay
    Rewal, Purva
    Pursharthi, Komal
    Kumar, Neeraj
    Barnawi, Ahmed
    Rathore, Rajkumar Singh
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (12) : 16499 - 16507
  • [33] Rate Optimization Congestion Control Protocol for Wireless Sensor Networks
    Xiao, Pingping
    Tian, Yantao
    ADVANCED MATERIALS AND PROCESSES, PTS 1-3, 2011, 311-313 : 1642 - +
  • [34] Sustainable and secure trajectories for the military Internet of Drones (IoD) through an efficient Medium Access Control (MAC) protocol
    Choudhary, Gaurav
    Sharma, Vishal
    You, Ilsun
    COMPUTERS & ELECTRICAL ENGINEERING, 2019, 74 : 59 - 73
  • [35] Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges
    Yahuza, Muktar
    Idris, Mohd Yamani Idna
    Ahmedy, Ismail Bin
    Wahab, Ainuddin Wahid Abdul
    Nandy, Tarak
    Noor, Noorzaily Mohamed
    Bala, Abubakar
    IEEE ACCESS, 2021, 9 (09): : 57243 - 57270
  • [36] Security Aspects of the Internet of Drones (IoD)
    Maurya, Sudhanshu
    Rauthan, M. M. S.
    Verma, Rohan
    2022 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL, COMPUTING, COMMUNICATION AND SUSTAINABLE TECHNOLOGIES (ICAECT), 2022,
  • [37] Security in Internet of Drones: A Comprehensive Review
    Samanth, Snehal
    Prema, K., V
    Balachandra, Mamatha
    COGENT ENGINEERING, 2022, 9 (01):
  • [38] Dynamics of a Discrete Internet Congestion Control Model
    Li, Yingguo
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2011, 2011
  • [39] Analysis of Cache-based Transport Protocol at Congestion in Wireless Sensor Networks
    Alipio, Melchizedek I.
    Tiglao, Nestor Michael C.
    2017 31ST INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2017, : 360 - 365
  • [40] TCP congestion control algorithm for heterogeneous Internet
    Wang, Zhiming
    Zeng, Xiaoping
    Liu, Xue
    Xu, Man
    Wen, Ya
    Chen, Li
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 68 : 56 - 64