Routing protocol for Low-Power and Lossy Networks for heterogeneous traffic network

被引:48
|
作者
Musaddiq, Arslan [1 ]
Zikria, Yousaf Bin [1 ]
Zulqarnain [1 ]
Kim, Sung Won [1 ]
机构
[1] Yeungnam Univ, Dept Informat & Commun Engn, 280 Daehak Ro, Gyongsan 38541, Gyeongsangbuk D, South Korea
基金
新加坡国家研究基金会;
关键词
Internet of Things; Routing; Objective function; Low-Power and Lossy Network; RPL; INTERNET;
D O I
10.1186/s13638-020-1645-4
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In a real network deployment, the diverse sensor applications generate a heterogeneous traffic pattern which may include basic sensing measurements such as temperature readings or high-volume multimedia traffic. In a heterogeneous traffic network, the two standardized objective functions (OFs), i.e., objective function zero (OF0) and the Minimum Rank with Hysteresis Objective Function (MRHOF) for routing protocol for Low-Power and Lossy Networks (RPL) perform poor routing decisions by selecting an already congested parent node and cause more re-transmissions across the network. Therefore, careful consideration is required in designing a new OF for heterogeneous traffic scenarios. In this study, we examine the RPL protocol under a heterogeneous traffic pattern and proposed a new protocol based on queue and workload-based condition (QWL-RPL). The aim of the proposed protocol is to achieve a reliable path with better overall performance. The proposed OF model considers the link workload in addition to mapping the congestion status of the node using the packet queue. We implement the proposed routing model in the Contiki operating system (OS) Cooja environment to compare with the existing technique. The simulation results show that QWL-RPL can improve the performance of a heterogeneous traffic network as compared with both OF0 and MRHOF, specifically in terms of the amount of overhead, packets reception ratio (PRR), average delay, and jitter. Final results indicate that on average, there is a 5%-30% improvement in PRR, 25%-45% reduction in overheads, 12%-30% reduction in average delay, and 20%-40% reduction in jitter.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Routing protocol for Low-Power and Lossy Networks for heterogeneous traffic network
    Arslan Musaddiq
    Yousaf Bin Zikria
    Sung Won Zulqarnain
    [J]. EURASIP Journal on Wireless Communications and Networking, 2020
  • [2] Survey on Routing Protocol for Low-Power and Lossy Networks
    Gadde, Deepak
    Chaudhari, M. S.
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2015, : 614 - 618
  • [3] Hydro: A Hybrid Routing Protocol for Low-Power and Lossy Networks
    Dawson-Haggerty, Stephen
    Tavakoli, Arsalan
    Culler, David
    [J]. 2010 IEEE 1ST INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2010, : 268 - 273
  • [4] The Impact of Rank Attack on Network Topology of Routing Protocol for Low-Power and Lossy Networks
    Anhtuan Le
    Loo, Jonathan
    Lasebae, Aboubaker
    Vinel, Alexey
    Chen, Yue
    Chai, Michael
    [J]. IEEE SENSORS JOURNAL, 2013, 13 (10) : 3685 - 3692
  • [5] Link Quality Aware Routing Protocol for Low-power and Lossy Networks
    Wang, Sheng-Shih
    Liu, Hsing-Tsai
    Chen, Yen-Da
    [J]. 2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2014, : 2588 - 2593
  • [6] An Optimization of the Object Function for Routing Protocol of Low-Power and Lossy Networks
    Xiao, Wei
    Jiang, Nan
    Liu, Jianfei
    Shi, Hongzhou
    [J]. 2014 2ND INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2014, : 515 - 519
  • [7] Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things
    Patel, Akshet
    Shanmugapriya, D.
    Srivastava, Gautam
    Lin, Jerry Chun-Wei
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, 13147 LNCS : 133 - 145
  • [8] Stability Metric Based Routing Protocol for Low-Power and Lossy Networks
    Yang, Xin
    Guo, Jianlin
    Orlik, Philip
    Parsons, Kieran
    Ishibashi, Koichi
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 3688 - 3693
  • [9] Routing Protocol of Low-Power and Lossy Network: Survey and Open Issues
    Aljarrah, Emran
    Yassein, Muneer Bani
    Aljawarneh, Shadi
    [J]. 2016 INTERNATIONAL CONFERENCE ON ENGINEERING & MIS (ICEMIS), 2016,
  • [10] Efficient routing protocol for IoT networks based on fog computing and routing protocol of low-power lossy networks
    Verma, Ankit
    Deswal, Suman
    [J]. INTERNATIONAL JOURNAL OF INTERNET PROTOCOL TECHNOLOGY, 2023, 16 (03) : 176 - 184