LOC algorithm: location-aware opportunistic forwarding by using node’s approximate location

Kashif Ashraf Khan, Sardar, Loo, Jonathan, Lasebae, Aboubaker ORCID logoORCID: https://orcid.org/0000-0003-2312-9694, Awais Azam, Muhammad, Adeel, Muhammad, Kausar, Rehana and Sardar, Humaira (2014) LOC algorithm: location-aware opportunistic forwarding by using node’s approximate location. International Journal of Pervasive Computing and Communications, 10 (4) . pp. 481-496. ISSN 1742-7371 [Article] (doi:10.1108/IJPCC-02-2014-0017)


This paper aims to propose an algorithm, location-aware opportunistic content forwarding (LOC), to improve message directivity using direction vectors in opportunistic networks. The LOC is based on the assumption that if approximate location of the destination node is known, then overall message delivery and cost can be improved. Efficient message delivery with low communication cost is a major challenge in current opportunistic networks. In these networks, nodes do not have prior knowledge of their recipients, and message forwarding can be achieved by selecting suitable forwarder based on some forwarding criteria, as compared to its ancestor mobile ad hoc networks. In this paper, the authors tested LOC in two sets of mobility models, synthetic movement model and real mobility data sets. In the first set, working day movement is used as synthetic movement model, where proposed algorithm is compared against Lobby Influence (LI) and Epidemic algorithms. In the second set of experiments, the new algorithm is tested in three mobility data sets, namely, Cambridge, Reality and Sassy, and results compared against LI algorithm. The reason of using various movement models is to establish strengths and weaknesses of the proposed algorithm in different scenarios.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 14235
Useful Links:
Depositing User: Jonathan Loo
Date Deposited: 03 Jun 2015 10:02
Last Modified: 05 Jul 2017 10:48
URI: https://eprints.mdx.ac.uk/id/eprint/14235

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