Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9135
Title: Enhancing opportunistic networking using location based social networks
Authors: Lambrinos, Lambros 
Kosmides, Pavlos 
Keywords: Delay tolerant networks
Machine learning
Location based social networks
Mobile opportunistic networks
Issue Date: 5-Jul-2016
Publisher: Association for Computing Machinery, Inc.
Source: 8th MobiHoc International Workshop on Hot Topics in Planet-Scale mObile Computing and Online Social Networking, 2016, Paderborn, Germany
Abstract: The wireless communication capabilities of mobile devices have evolved rapidly during the last decade. Exploiting the various connectivity technologies available devices are capable of forming intermittently connected networks; in these networks, defined as Mobile Opportunistic Networks (MONs), a multitude of mobile devices are carried by people and data packets are transferred between these devices opportunistically i.e. when communication opportunities arise. One important issue that arises in MONs concerns routing which must cope with network partitioning, long delays, and dynamic topology changes. Several approaches have been proposed in the literature, including the use of location information and the exploitation of social characteristics. In this paper we aim to enhance MONs during the routing process by combining both location and social information. To achieve this we introduce the use of Location-Based Social Networks (LBSNs) in order to collect necessary information about users' possible future locations. We present the deployment architecture of the proposed system and analyse the business processes and application services, including foreseen components and their interactions.
URI: http://ktisis.cut.ac.cy/handle/10488/9135
ISBN: 978-145034344-2
Rights: Copyright 2016 ACM.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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