Cellular Network Providers (CNP) provide users with wireless data access to meet the growing ubiquitous demand for the Internet. As users subscribe to a fixed data plan for a monthly flat fee, some users may exhaust their data allowance before the end of the billing cycle, while others underutilize their monthly quota. To take advantage of such underutilization, Khausik et. al. propose a mechanism for ad hoc bandwidth redistribution that allows subscribers to sell their unused bandwidth to users needing Internet access in exchange for some financial compensation as and when opportunities arise. There exists a popular belief that allowing such ondemand ad hoc service is not beneficial to CNP. This paper seeks to address and counter this opinion by proposing a pricing scheme and a revenue sharing mechanism that makes the provision of ad hoc connection advantageous to CNP. Our revenue sharing mechanism provides economic incentives to CNP. The simulation results show that our revenue sharing model ensures that CNP receives the majority portion of the revenue gained, regardless of the amount. Secondly, our pricing model ensures traffic from ad hoc users has minimal impact on the connection quality of current subscribers. In this model, we use Shapley value as the basis for deriving the revenue sharing.

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In pursuance of the Millennium Development Goals (MDGs) set by United Nations in 2000, both Community Based Participatory Research (CBPR) and Mobile Health (mHealth) have proved to be a great tool for advancements in patient monitoring, emergency care and community empowerment. Rapid proliferation of mobile telephony in low income, rural and underserved populations in the absence of other information and communication technology media have prompted the interests of researchers in public health sector. Exploiting mobile communication has resulted in formulation of a dependable and effective socio-technical ecosystem for public health. Whereas, involving academic researchers and community partners to collaborate and develop social and computational models, Community Based Participatory Research (CBPR) approach targets building communication, trust and capacity, with the final goal of increasing community participation in the research process. CBPR is a collaborative approach to research which equitably involves all partners in the research process for betterment of the targeted community. In this paper we present a conceptual and implementation architecture for conducting mHealth assisted community-based interventions. The framework allows CBPR partners to customize the system and design interventions around locale, technology, geographic, scale, and nonetheless social and cultural aspects. We also present the design of our planned intervention addressing prenatal monitoring of underserved populations in the Andean regions of Perú.

Internet based applications for Mobile Devices such as Smartphones, Tablets, PDAs, portable media players etc. work on simple one-to-one client-server data distribution model. Concomitant with growing popularity of such devices and applications, however, are increasing concerns about volume of global online digital content generated by these devices. Network traffic originating from these devices has marked a multi-fold increase over past few years and hence, the incumbent content availability and maintainability cost. In this paper we present a novel approach for mobile data offloading, "SmartParcel", by encouraging collaborative data sharing among spatio-temporally co-existing mobile devices, thus, minimizing the overall network usage and traffic. SmartParcel ensures high service availability to the users in events of unavailability of access points, unavailable or limited cellular data connections, unavailability of 3G or LTE hardware etc. We develop the technology for Android but the architecture can be extended to other available mobile software platforms. Our trace based simulation results advocate high data availability to user even with its limited participation and fewer data requests to the servers.

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