LOC algorithm: location-aware opportunistic forwarding by using node's approximate location
Article
Kashif Ashraf Khan, S., Loo, J., Lasebae, A., Awais Azam, M., Adeel, M., Kausar, R. and Sardar, H. 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. https://doi.org/10.1108/IJPCC-02-2014-0017
Type | Article |
---|---|
Title | LOC algorithm: location-aware opportunistic forwarding by using node's approximate location |
Authors | Kashif Ashraf Khan, S., Loo, J., Lasebae, A., Awais Azam, M., Adeel, M., Kausar, R. and Sardar, H. |
Abstract | 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. |
Publisher | Emerald |
Journal | International Journal of Pervasive Computing and Communications |
ISSN | 1742-7371 |
Publication dates | |
01 Oct 2014 | |
Publication process dates | |
Deposited | 03 Jun 2015 |
Accepted | 01 Oct 2014 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1108/IJPCC-02-2014-0017 |
Language | English |
https://repository.mdx.ac.uk/item/84yw7
50
total views0
total downloads0
views this month0
downloads this month