Title
Loc Algorithm Location-Aware Opportunistic Forwarding By Using Node'S Approximate Location
Abstract
Purpose - 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.Design/methodology/approach - 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.Findings - The experimental results show that the new algorithm performed extremely well in different scenarios, not only in terms of overall message delivery but also successfully managed to reduce the communication cost.Originality/value - The new contribution increases the overall energy and storage efficiency of nodes by targeting relevant forwarding nodes in the network.
Year
DOI
Venue
2014
10.1108/IJPCC-02-2014-0017
INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS
Keywords
DocType
Volume
Content forwarding, Location-aware opportunistic content forwarding, Opportunistic routing, Social relationships
Journal
10
Issue
ISSN
Citations 
4
1742-7371
1
PageRank 
References 
Authors
0.35
5
7
Name
Order
Citations
PageRank
Sardar Kashif Ashraf Khan1193.94
Jonathan Loo2215.56
Aboubaker Lasebae314216.91
Muhammad Awais Azam417824.45
Muhammad Adeel52711.84
Rehana Kausar641.16
Humaira Sardar710.35