A Qualitative Survey on Multicast Routing in Delay Tolerant Networks

Patra, Sushovan; Saha, Sujoy; Shah, Vijay K.; Sengupta, Sujan; Singh, Konsam Gojendra; Nandi, S.

doi:10.1007/978-3-642-21937-5_18

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…The group membership of a particular multicast group may change with time as nodes join and leave the group [54]. Patra et al [55] classified multicast routing strategies in DTNs on the basis of their basic working mechanisms. The categories include flooding multicast routing, tree-based multicast routing, probability-based multicast routing, and intelligent multicast routing.…”

Section: B Multicast Routingmentioning

confidence: 99%

Socially Aware Networking: A Survey

Xia

Liu

et al. 2015

IEEE Systems Journal

137

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The widespread proliferation of handheld devices enables mobile carriers to be connected at anytime and anywhere. Meanwhile, the mobility patterns of mobile devices strongly depend on the users' movements, which are closely related to their social relationships and behaviors. Consequently, today's mobile networks are becoming increasingly human centric. This leads to the emergence of a new field which we call socially aware networking (SAN). One of the major features of SAN is that social awareness becomes indispensable information for the design of networking solutions. This emerging paradigm is applicable to various types of networks (e.g., opportunistic networks, mobile social networks, delay-tolerant networks, ad hoc networks, etc.) where the users have social relationships and interactions. By exploiting social properties of nodes, SAN can provide better networking support to innovative applications and services. In addition, it facilitates the convergence of human society and cyberphysical systems. In this paper, for the first time, to the best of our knowledge, we present a survey of this emerging field. Basic concepts of SAN are introduced. We intend to generalize the widely used social properties in this regard. The state-of-the-art research on SAN is reviewed with focus on three aspects: routing and forwarding, incentive mechanisms, and data dissemination. Some important open issues with respect to mobile social sensing and learning, privacy, node selfishness, and scalability are discussed.

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Section: B Multicast Routingmentioning

confidence: 99%

Socially Aware Networking: A Survey

Xia

Liu

et al. 2015

IEEE Systems Journal

137

View full text Add to dashboard Cite

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“…Patra et al [20], however, presented a more comprehensive survey on multicast routing for DTN. The following four categories of multicast routing protocols are discussed: Flooding, tree-based, probabilistic, and intelligent protocols.…”

Section: Related Workmentioning

confidence: 99%

Current State of Multicast Routing Protocols for Disruption Tolerant Networks: Survey and Open Issues

Wong

Wan

2019

Electronics

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The deployment of Internet of Things (IoT) applications in remote areas, such as environmental sensing areas, requires Disruption Tolerant Networking (DTN) support due to the lack of continuous network connectivity. IoT devices in DTN generate and store data until a network link is available for data transmission. Data mules or ferries are scheduled to travel among intermittent networks to collect data and disseminate configuration updates from control centers to all participating nodes in a reliable manner. The incorporation of efficient, reliable multicast algorithms into DTN helps to overcome the current limitations in updating large numbers of nodes in remote areas with identical configurations. In this paper, the current state of multicast routing protocols in DTN is outlined according to their design aspects. Open issues are also discussed to provide impetus for further research into the Reliable Multicast DTN (RMDTN) protocol.

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“…Zhao et al analyzed the semantic models of mobile opportunistic networks and classified existing multicast approaches into four categories based on how they are implemented: unicast-based, tree-based, broadcast-based [31], and groupbased approaches [32], [33]. They concluded that groupbased multicast strategies perform the best.…”

Section: Related Work a Traditional Approachesmentioning

confidence: 99%

Reducing the Overhead of Multicast Using Social Features in Mobile Opportunistic Networks

et al. 2019

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Through utilizing user mobility and short-range device-to-device communication techniques, mobile opportunistic networks (MONs) enable end-to-end message delivery without the dependence on reliable network infrastructures. Examples of these networks include mobile social networks and vehicular networks. Multicast in MONs is used to disseminate information to a group of mobile nodes, which have attracted considerable attention due to high resource utilization. In this paper, we focus on reducing the overhead of multicast in MONs without compromising the delivery performance, through utilizing static social features of nodes and time-varying social behaviors. We first conduct a trace data analysis using the information entropy theory to identify the most important and representative social features in a popular trace, the Infocom06 trace. Based on these static social features, we propose a Social Profile-based Multicast (SPM) routing scheme, that supports efficient multicast message dissemination with a small maintenance overhead, i.e., little cost on maintaining the historical records. Furthermore, by exploring the time-varying social behaviors during daytime and nighttime, we verify that a small number of forwardings during that daytime is sufficient to achieve a desirable delivery ratio. We thus propose an improved overheadreducing scheme Social Profile-based Multicast-Overhead Reducing (SPMOR) that restricts the number of forwardings during the daytime. The extensive trace-driven simulations show that SPM achieves desirable delivery performance with small maintenance and transmission cost, and SPMOR can further reduce the transmission overhead under diurnal user behaviors. At last, we conduct a similar study on a campus-based MON trace, SocialBlueConn. We find that the main conclusions and performance results on SocialBlueConn are consistent with the Infocom06 trace, which verifies our methodology is scalable.INDEX TERMS Mobile opportunistic networks (MONs), multicast, social behaviors, overhead reduction.The associate editor coordinating the review of this manuscript and approving it for publication was Burak Kantarci. transmission delay, limited node buffer space and power, and severe network security vulnerabilities [4]- [10].Multicast in mobile opportunistic networks is widely used for group communication in a variety of scenarios. For instance, people sharing the same interests at conference venues or shopping malls may form a group and exchange messages of common interests. To support such kind of applications, like unicast, data forwarding in multicast routing also adopts the ''store-carry-forward'' mode. The basic process of multicast routing is illustrated in Fig. 1. A dashed circle represents that the nodes inside are within the transmission range

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A Qualitative Survey on Multicast Routing in Delay Tolerant Networks

Cited by 10 publications

References 10 publications

Socially Aware Networking: A Survey

Socially Aware Networking: A Survey

Current State of Multicast Routing Protocols for Disruption Tolerant Networks: Survey and Open Issues

Reducing the Overhead of Multicast Using Social Features in Mobile Opportunistic Networks

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