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Energy constraint is a critical hurdle hindering the practical deployment of long-term wireless sensor network applications. Turning off (i.e., duty cycling) sensors could reduce energy consumption, however at the cost of low sensing fidelity due to sensing gaps introduced. Existing techniques have studied how to collaboratively reduce the sensing gap in space and time, however none of them provides...
Target coverage problem in wireless sensor networks remains a challenge. Due to nonlinear nature, previous work has mainly focused on heuristic algorithms, which remain difficult to characterize and have no performance guarantee. To solve the problem, this paper offers two important contributions. The first contribution is to have two lifetime upper bounds, which could be used to justify performance...
This paper proposes a virtual scanning algorithm (VISA), tailored and optimized for road network surveillance. Our design uniquely leverages upon the facts that (i) the movement of targets (e.g., vehicles) is confined within roadways and (ii) the road network maps are normally known. We guarantee the detection of moving targets before they reach designated protection points (such as temporary base...
Event surveillance especially the composite event surveillance is a crucial task for wireless sensor networks applications. However, sensor nodes are vulnerable by harsh environmental conditions, which cause sensor nodes fallibility and affect the quality of surveillance. In order to improve the surveillance quality of composite event, one straightforward method is to increase the number of wake-up...
Many applications in wireless sensor networks like video surveillance have the requirement of timely data delivery. Real-time routing is needed in these applications. Because of the limitation of node energy, energy efficiency is also an important concern in routing protocol design in order to increase the network lifetime. In this paper, we propose a global-energy-balancing routing scheme (GEBR)...
Despite the well-known fact that sensing patterns in reality are highly irregular, researchers continue to develop protocols with simplifying assumptions about the sensing. For example, a circular 0/1 sensing model is widely used in most existing simulators and analysis. While this model provides high-level guidelines, it could cause wrong estimation of system performance in the real world. In this...
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