Mobile Ad Hoc Social Networks Research Articles

Recent Advances in Ad-Hoc Social Networking: Key Techniques and Future Research Directions

Ad-hoc Social Networks are formed by groups of nodes, designating a similarity of interests. The network establishes a two-layer hierarchical structure that comprises communication within-group and joining with other groups. This paper presents survey and future directions in four areas of establishing ad-hoc social network using mobile ad-hoc social network (MANET) that includes architecture or implementation features, Profile Management of users, Similarity Metric, and Routing Protocols. The survey presents the need to provide social applications over MANET, optimizing profile matching algorithms of users, and context aware routing protocols. Future directions include multi-hop social network applications that can be useful for users even in airplane mode and notifying over MANET when a user of profile with similar interest is nearby.

An Ad-hoc Social Network Generation Approach

The use of social networks is still confined to infrastructure-based networks such as the Internet. However, many situations (conferences, fairs, etc.) may require the implementation and rapid deployment of an ad-hoc application for disseminating information: we call this type of application, Ad-hoc Social Network. These applications are necessarily distributed, deployable on mobile units, etc. They therefore inevitably share the same characteristics as those inherent in ad-hoc mobile networks and make them good candidates for their deployment. In this paper, by using techniques from the field of generative programming, we propose an approach to produce environments for generating such applications from their specifications in a domain-specific language. By applying this approach, we have developed SMGenerator, an environment for generating mobile ad-hoc social network applications for Android devices. Moreover by using SMGenerator, we easily generated the ConfInfo application: an ad-hoc social network application for disseminating information to participants in a scientific manifestation.

Social Profile Aware AODV Protocol for Ad-Hoc Social Networks

Ad-hoc social networks are required to strengthen local communication between people. Mobile ad-hoc social networks have emerged as self-configuring and self-organizing social networks to facilitate interactions among different mobile users without Internet. Contextual routing based on social patterns has been proposed and advantageous for ad-hoc social networks. Social profile aware routing protocol proposed in this paper allows users to use social networking applications using social routing protocol. The protocol has been implemented on network simulator ns-2 and is also available as a patch file for other researchers. Results indicate protocol has low overhead with 64 nodes. Results have been presented for packet delivery ratio, and average end-to-end delay. The need of multi-hop social network was also studied and observed that probability of nodes being connected at mult-hop increases with increment of number of nodes and geographical area.

Transmission of Ideal Data Query in Mobile Ad-hoc Social Networks

Transmission of Ideal Data Query in Mobile Ad-hoc Social Networks

Modeling Data Transport Capacity of Mobile Networks for Mobile Social Services

In this paper, we mainly study the data transport capacity of mobile networks for mobile social services. Specifically, mobile ad hoc social networks (MAHSNs) with infrastructure support are considered the carrier networks. In MAHSNs with infrastructure support, the underlying physical networks and the upper social relationship networks interact with each other and influence the capacity of this hybrid mobile social communication carrier network together. For the physical networks, we introduce a more practical clustered model to depict the social behavior of users. We consider a virtual home point for each mobile user. For the upper social relationship networks, we propose an improved population-based model, in which we map the home points of the mobile users into the social relationship formation, to solve the social formation problem in the mobile environment. This process comprehensively considers the clustering levels of the degree of friendship and friendship distribution. Finally, from a layered networking perspective, the geographical distribution of the social traffic sessions is analyzed to derive the capacity for social-broadcast sessions of MAHSNs with infrastructure support. The results provide deep insights into the impacts of a user’ mobility pattern and social relationship formation on the capacity of MAHSNs with infrastructure support.

Efficient Data Query in Intermittently-Connected Mobile Ad Hoc Social Networks

This work addresses the problem of how to enable efficient data query in a Mobile Ad-hoc SOcial Network (MASON), formed by mobile users who share similar interests and connect with one another by exploiting Bluetooth and/or WiFi connections. The data query in MASONs faces several unique challenges including opportunistic link connectivity, autonomous computing and storage, and unknown or inaccurate data providers. Our goal is to determine an optimal transmission strategy that supports the desired query rate within a delay budget and at the same time minimizes the total communication cost. To this end, we propose a centralized optimization model that offers useful theoretic insights and develop a distributed data query protocol for practical applications. To demonstrate the feasibility and efficiency of the proposed scheme and to gain useful empirical insights, we carry out a testbed experiment by using 25 off-the-shelf Dell Streak tablets for a period of 15 days. Moreover, extensive simulations are carried out to learn the performance trend under various network settings, which are not practical to build and evaluate in laboratories.

BASA: building mobile Ad-Hoc social networks on top of android

Mobile ad-hoc social networks (MASNs) are emerging as a self-configuring and self-organizing social networking paradigm, which enhance local interactions among mobile and handheld device users. However, the MASNs cannot be directly derived on demand for various Android systems from existing social networks (SNs) without having access to end-to-end IT network infrastructure. In this article, we propose a detailed solution called BASA which would help in rapidly building local mobile ad-hoc social networks on top of the current Android platform. BASA establishes a four-layer system architecture according to the underlying challenges and requirements in MASNs. BASA is implemented in an EU project named SOCITIES. Our prototype shows that BASA is flexible to expedite various services.

Decentralized Self-Management of Trust for Mobile Ad Hoc Social Networks

The construction of social networks over mobile devices in the events or at locations has emerged as a new network paradigm. These new mobile social networks enable people to communicate and share their experiences without the need to have Internet access and with minimum required infrastructure. However, the functionality and security of such networks would be potentially undermined without an effective trust management scheme. Although many trust management systems have been proposed, few of them can be applied to these new mobile social networks because of the unique network and communication characteristics. This paper presents a novel trust management system, termed MobileTrust, to establish decentralized, secure and reliable trust relationships between mobile ad hoc social network participants. Specifically, the construction of trust models encompasses both scenarios that users are experienced with the network and users are unacquainted with the environment. The trust models cover various important factors of trust relationships in social networks, including the similarity of user profile, reputation, and history of friendship. A set of simulations is conducted to evaluate our system deployed in a mobile social network in the presence of dishonest users.