Directional-based beacon packet mobility prediction scheme for wireless link breakdown in MANET position-based routing protocols

Raed Alsaqour, Maha S. Abdelhaq, Tariq Abdullah

Research output: Contribution to journalJournal articlepeer-review

1 Scopus citations


Mobile Ad-hoc NETwork (MANET) is a collection of wireless devices forming network in the absence of any fixed infrastructure. The devices use wireless transmissions to communicate with each other within their transmission ranges. The absence of fixed infrastructure makes the problem of data routing and forwarding a challenging task in such network. To carry out this task, several position-based routing protocols have been proposed that utilize the position of the wireless devices to make routing decision. In position-based routing protocols, the sender routes the data packet to a neighbour node, whose geographical position is the closest to the destination among all the sender's neighbour nodes. However, the selected neighbour node is closer to the edge of the maximum of the sender's transmission range and thus the wireless link between the sender node, and its routing neighbour node may breakdown. Several mobility predication schemes have been proposed in literature to overcome the wireless link breakdown problem. In this paper, we propose a directional basedbeacon packet mobility prediction scheme to mitigate the drawback observed in literature mobility prediction schemes. The proposed scheme brings better performance for the network performance in term of end-to-end delay.

Original languageEnglish
Pages (from-to)1361-1371
Number of pages11
JournalAustralian Journal of Basic and Applied Sciences
Issue number9
StatePublished - Sep 2011
Externally publishedYes


  • Mobility prediction scheme
  • Neighbour wireless link breakdown
  • Position-based routing protocol


Dive into the research topics of 'Directional-based beacon packet mobility prediction scheme for wireless link breakdown in MANET position-based routing protocols'. Together they form a unique fingerprint.

Cite this