The efficiency of military mobile network operations at the tactical edge is challenging due to the practical Disconnected, Intermittent, and Limited (DIL) environments at the tactical edge which make it hard to maintain persistent end-to-end wireless network connectivity. Opportunistic mobile networks are hence devised to depict such tactical networking scenarios. Social relations among warfighters in tactical opportunistic mobile networks are implicitly represented by their opportunistic contacts via short-range radios, but were inappropriately considered as stationary over time by the conventional wisdom. In this paper, we develop analytical models to probabilistically investigate the temporal dynamics of this social relationship, which is critical to efficient mobile communication in the battlespace. We propose to formulate such dynamics by developing various sociological metrics, including centrality and community, with respect to the opportunistic mobile network contexts. These metrics investigate social dynamics based on the experimentally validated skewness of users’ transient contact distributions over time.
Mobile phone sensing is a critical underpinning of pervasive mobile computing, and is one of the key factors for improving
people’s quality of life in modern society via collective utilization of the on-board sensing capabilities of people’s
smartphones. The increasing demands for sensing services and ambient awareness in mobile environments highlight the
necessity of active participation of individual mobile users in sensing tasks. User incentives for such participation have
been continuously offered from an application-centric perspective, i.e., as payments from the sensing server, to compensate
users’ sensing costs. These payments, however, are manipulated to maximize the benefits of the sensing server, ignoring
the runtime flexibility and benefits of participating users. This paper presents a novel framework of user-centric incentive
design, and develops a universal sensing platform which translates heterogenous sensing tasks to a generic sensing plan
specifying the task-independent requirements of sensing performance. We use this sensing plan as input to reduce three
categories of sensing costs, which together cover the possible sources hindering users’ participation in sensing.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.