IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v16y2020i5p1550147720921624.html
   My bibliography  Save this article

Preamble time-division multiple access fixed slot assignment protocol for secure mobile ad hoc networks

Author

Listed:
  • Khalid Hussain Mohammadani
  • Kamran Ali Memon
  • Imran Memon
  • Nazish Nawaz Hussaini
  • Hadiqua Fazal

Abstract

Mobile ad hoc networks are the “spontaneous networks†which create a temporary network in any place and any time without using any extra fixed radio device of a full infrastructure network. Each device in this network works as a router to develop end-to-end communication connections and move independently in any direction. Mostly, mobile ad hoc networks use the IEEE 802.11b protocol with carrier-sense multiple access with collision avoidance medium access control layer protocol for sharing a common medium among the nodes simultaneously. Due to this distributed medium, the routing and medium access control layer of the mobile ad hoc network are prone to attacks. Among several attackers, blackhole attacker is the dangerous one which causes the loss of all data packets of devices in the network. Efficient medium access control protocol designs in this respect play a key role in determining channel utilization, network delay, and, more importantly, network security. In the proposed work, preamble information is used with time-division multiple access medium access control. The preamble time-division multiple access uses time synchronization for each time slot and does not assign much time to the blackhole attacker due to a fixed time slot. As a result, blackhole is not stable in all communications and such an attack is effectively defended. Simulation results show that, in the presence of the blackhole attacker, carrier-sense multiple access with collision avoidance has a high packet loss ratio and low network throughput as compared to the proposed preamble time-division multiple access.

Suggested Citation

  • Khalid Hussain Mohammadani & Kamran Ali Memon & Imran Memon & Nazish Nawaz Hussaini & Hadiqua Fazal, 2020. "Preamble time-division multiple access fixed slot assignment protocol for secure mobile ad hoc networks," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
  • Handle: RePEc:sae:intdis:v:16:y:2020:i:5:p:1550147720921624
    DOI: 10.1177/1550147720921624
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147720921624
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147720921624?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xiangyang Xu & Hao Yang, 2018. "Network method for deformation analysis of three-dimensional point cloud with terrestrial laser scanning sensor," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    2. Xiangyang Xu & Hao Yang & Boris Kargoll, 2019. "Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement," International Journal of Distributed Sensor Networks, , vol. 15(11), pages 15501477198, November.
    3. Khattab M Ali Alheeti & Muzhir Shaban Al-ani & Klaus McDonald-Maier, 2018. "A hierarchical detection method in external communication for self-driving vehicles based on TDMA," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juyeon Son & Wonyoung Choi & Sang-Min Choi, 2020. "Trust information network in social Internet of things using trust-aware recommender systems," International Journal of Distributed Sensor Networks, , vol. 16(4), pages 15501477209, April.
    2. Francesc Pozo & Diego A Tibaduiza & Miguel à ngel Torres-Arredondo & Margarita Varón & Hernán Dario Ceron-Muñoz, 2020. "Editorial," International Journal of Distributed Sensor Networks, , vol. 16(9), pages 15501477209, September.
    3. Gong Bencan & Dong Panpan & Chen Peng & Ren Dong, 2020. "Evolutionary game–based trajectory design algorithm for mobile sink in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 16(3), pages 15501477209, March.
    4. Xiangyang Xu & Hao Yang & Boris Kargoll, 2019. "Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement," International Journal of Distributed Sensor Networks, , vol. 15(11), pages 15501477198, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:16:y:2020:i:5:p:1550147720921624. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.