An Overlay-Based Resource Monitoring Scheme for Social Applications in MANET

Abstract

The popularity of Social Networking Service and the ubiquity of handheld devices improve chances of social interactions. Mobile social software emerges as a key part of this new trend. In order for users to enjoy this social experience, the resource state of member needs to be monitored so applications can adapt to dynamics of MANET and resource constraints on mobile devices. Previous work in resource monitoring for MANETs focuses on providing a general monitoring scheme. Therefore important group semantics, such as membership information, are not considered. This lack of consideration generates unnecessary traffic overhead and delay in responses. In this paper, we propose a resource monitoring scheme for group-based applications in MANETs. The proposed scheme is based on clusters of information that communicate each other using a group-based overlay. An evaluation shows that the proposed scheme shows shorter response time and smaller traffic overhead without accuracy degradation compared with previous work.

Community-Based Event Dissemination with Optimal Load Balancing

“…DHTs mostly differ in the rules they use for associating the objects to nodes, their routing and lookup protocol, and their topology (e.g., [26]). Load balancing algorithms in which the computing nodes are partitioned into clusters based on data transfer in the network are called as cluster-based methods (e.g., [27], [28], [29]). Community-based load balancing is done by partitioning the set of nodes into a predefined number of communities (our work is focused on this).…”

PeerfactSim.KOM: Take it back to the streets

“…Typical application scenarios comprise (i) the delivery of multimedia content between arbitrary [1] or socially related nodes [2] to offload a cellular infrastructure or (ii) the provisioning of location-based services [3], [4] to exploit the locality of interaction.…”

BlockTree: Location-aware decentralized monitoring in mobile ad hoc networks

“…Especially in urban areas, MANETs represent a viable alternative to infrastructure-based networks and are particularly useful for applications, where the locality of interaction can be exploited. Examples comprise mobile social networks [14], where the interaction takes place between a group of users, as well as location-based services (e.g., Foursquare or academic approaches [3], [20]), where users consume and generate information about nearby locations [4].…”

“…To cope with the varying conditions resulting from the dynamic nature of the environment, it is essential that the participating nodes in a MANET obtain the current system state to adjust the network and the application accordingly. For example, a monitoring mechanism (i) monitors the access frequency of the exchanged content to adjust the replication factor [5], (ii) monitors social metrics [21] or available node resources [14] to identify highly connected or powerful nodes for content placement, or (iii) monitors the node density to identify sparsely populated places [9], as examined in Section V-C. In contrast to a centralized approach, where a server processes the monitored data and reacts on the obtained results, MANETs must cope with the challenge that the data is distributed over the entire network, while no dedicated component is in place to capture the monitored data.…”

“…To tackle those additional challenges, dedicated monitoring approaches have been developed for MANETs (cf. [2], [14], [22], [23]). They all rely on a small subset of nodes, which are in charge of collecting and storing the monitored information.…”