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Sensing data collection is of great significance in mobile crowd sensing. We consider the problem of online maximization of data utility of the sensing data collected from smartphone users under a time average budget constraint. There are several major challenges, including random and unknown phone contexts, budget constraint and existence of data redundancy. Little work has studied this crucial problem...
This paper focuses on workload allocation among mobile nodes in a mobile crowd sensing system. We take both two important objectives into account, including load balance and sensing data utility maximization. However, workload allocation achieving both objectives is particularly challenging. First, there is an intrinsic tradeoff between load balance and utility maximization. The system should strike...
Most existing connectivity-based localization algorithms require high node density which is unavailable in many large-scale sparse mobile networks. By analyzing large datasets of real user traces from Dartmouth and MIT, we observe that user mobility exhibits high spatiotemporal regularity and, more importantly, that user mobility is strongly correlated with the user's social encounters (including...
In many mission critical applications, one of the central tasks is to obtain aggregate values, such as AVERAGE and SUM, based on which critical conditions can be detected. Immediate measures can subsequently be taken to remove associated risks timely. However, there is no successful work for detecting such critical events energy efficiently. In this paper we propose a novel approach. A fully distributed...
In a realistic sensor network, in particular with a non-uniform deployment, sensor nodes inevitably have varying workloads. This causes a natural problem that some sensor nodes are subject to excessive power consumption and thus become hot. These hot nodes deplete much earlier resulting in system performance degradation. This paper proposes a systematic approach to design a hotness-aware sensor network...
It has been of significant importance to provision network-wide guaranteed QoS for a wide range of event detection applications in wireless sensor networks (WSNs). This paper investigates solutions to this QoS provision problem. For event detection applications, there are two key performance metrics, i.e., detection probability and detection latency. This paper focuses on dual-objective QoS provision,...
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