Context- and social-aware middleware for opportunistic networks

Boldrini, Chiara; Conti, Marco; Delmastro, Franca; Passarella, Andrea

doi:10.1016/j.jnca.2010.03.017

Cited by 77 publications

(29 citation statements)

References 41 publications

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“…However, in CAR, nodes have to periodically measure and combine their attributes and disseminate them to neighbors, which is not appropriate for the dynamics of MANETs. Boldrini et al designed a genetic context-aware middleware to infer potential mobility or contact patterns to help routing packets in opportunistic networks [9]. Therefore, in lossy mobile environments, the more information a routing protocol considers, the more accurate it can understand the network.…”

Section: Related Workmentioning

confidence: 99%

Context-aware opportunistic routing in mobile ad-hoc networks incorporating node mobility

Zhao

Rosário

Braun

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-Opportunistic routing (OR) employs a list of candidates to improve reliability of wireless transmission. However, list-based OR features restrict the freedom of opportunism, since only the listed nodes can compete for packet forwarding. Additionally, the list is statically generated based on a single metric prior to data transmission, which is not appropriate for mobile ad-hoc networks. This paper provides a thorough performance evaluation of a new protocol -Context-aware Opportunistic Routing (COR). The contributions of COR are threefold. First, it uses various types of context information simultaneously such as link quality, geographic progress, and residual energy of nodes to make routing decisions. Second, it allows all qualified nodes to participate in packet forwarding. Third, it exploits the relative mobility of nodes to further improve performance. Simulation results show that COR can provide efficient routing in mobile environments, and it outperforms existing solutions that solely rely on a single metric by nearly 20 -40 %.

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Section: Related Workmentioning

confidence: 99%

Context-aware opportunistic routing in mobile ad-hoc networks incorporating node mobility

Zhao

Rosário

Braun

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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“…That is they assume that data is on the move most of the time, while what we need is a mechanism to preserve data at a geographical location. Integration of social and context awareness for data dissemination was however studied by Bondini, Conti et al, building over the experience of Haggle [1]. The part of their research interesting to us is the presentation of a theoretical base for the weight of different parameters in the calculation of the opportunity of locally storing a packet of data.…”

Section: Related Workmentioning

confidence: 99%

Storing Location-Aware Data in Mobile Distributed Systems

Urda

Dobre

Pop

2013

2013 IEEE 12th International Symposium on Parallel and Distributed Computing

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Smart mobile phones have become a common sight and every day new uses are found for them beyond their original scope of allowing voice communication between remote peers. Nevertheless, mobility limits the features a smartphone is able to provide in areas such as storage space and data communication costs. This paper proposes a solution for storing location-aware data in a medium composed of fixed points (workstations), wireless access points and smart-phone applications. The proposed system uses context information (location, neighbors) and techniques specific for opportunistic computing to provide an efficient management of the available data. The paper concentrates on the specific problem of using smart devices to provide a feasible satellite navigation system based on high resolution raster maps. An evaluation of the system's performance is provided based on a custom simulator.

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“…This capability has prompted new mobile applications that leverage occasional encounters of users in various social contexts, e.g., for mobile social networking [22,13,9], content sharing [15,12], mobile ad-hoc gaming [5,16], and more [19,21,31,24]. Specialized middleware [3, 32,25,18,7] has also been produced to facilitate the development of such applications. While the general term ad-hoc network has been used to designate opportunisticallyformed networks of devices (e.g., sensor networks), we use the term encounter networks to refer to this special case of ad-hoc networks that target co-located moving personal devices and involve social interactions.…”

Section: Introductionmentioning

confidence: 99%

Termite: Emulation Testbed for Encounter Networks

Bruno¹,

Santos²,

Ferreira³

2015

Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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Cutting-edge mobile devices like smartphones and tablets are equipped with various infrastructureless wireless interfaces, such as WiFi Direct and Bluetooth. Such technologies allow for novel mobile applications that take advantage of casual encounters between co-located users. However, the need to mimic the behavior of real-world encounter networks makes testing and debugging of such applications hard tasks.We present Termite, an emulation testbed for encounter networks. Our system allows developers to run their applications on a virtual encounter network emulated by software. Developers can model arbitrary encounter networks and specify user interactions on the emulated virtual devices. To facilitate testing and debugging, developers can place breakpoints, inspect the runtime state of virtual nodes, and run experiments in a stepwise fashion. Termite defines its own Petri Net variant to model the dynamically changing topology and synthesize user interactions with virtual devices. The system is designed to efficiently multiplex an underlying emulation hosting infrastructure across multiple developers, and to support heterogeneous mobile platforms. Our current system implementation supports virtual Android devices communicating over WiFi Direct networks and runs on top of a local cloud infrastructure. We evaluated our system using emulator network traces, and found that Termite is expressive and performs well.

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Context- and social-aware middleware for opportunistic networks

Cited by 77 publications

References 41 publications

Context-aware opportunistic routing in mobile ad-hoc networks incorporating node mobility

Context-aware opportunistic routing in mobile ad-hoc networks incorporating node mobility

Storing Location-Aware Data in Mobile Distributed Systems

Termite: Emulation Testbed for Encounter Networks

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