Shuguang Xiong

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Data collection is a fundamental task in wireless sensor networks. In many applications of wireless sensor networks, approximate data collection is a wise choice due to the constraints in communication bandwidth and energy budget. In this paper, we focus on efficient approximate data collection with prespecified error bounds in wireless sensor networks. The(More)
For energy conservation, a wireless sensor network is usually designed to work in a low-duty-cycle mode, in which a sensor node keeps active for a small percentage of time during its working period. In applications where there are multiple data delivery tasks with high data rates and time constraints, low-duty-cycle working mode may cause severe(More)
Due to lack of precise control on network topology, cut vertices often exist in wireless sensor networks (WSNs). A cut vertex is defined as a sensor node whose removal breaks network connectivity. Failures of such nodes make a network disconnected and block data transmission, hence it is vital to detect cut vertices in WSNs. This paper proposes a(More)
Continuous aggregation is usually required in many sensor applications to obtain the temporal variation information of aggregates. However, in a hostile environment, the adversary could fabricate false temporal variation patterns of the aggregates by manipulating a series of aggregation results through compromised nodes. Existing secure aggregation schemes(More)
Data collection is a fundamental issue in wireless sensor networks. In many application scenarios for sensor networks, approximate data collection is a wise choice due to the constraints in communication bandwidth and energy budget. In this paper, we focus on efficient approximate data collection with given error bounds in wireless sensor networks. The key(More)
A wireless sensor network is often deployed for environment monitoring and event inspection. Among these applications, the sink of the network usually requires the data generated on each sensor node periodically, and such a network is called a data-gathering sensor network. In each round of the data gathering process, a sensor node sends its reading via a(More)
In wireless sensor networks, the adversary may inject false reports to exhaust network energy or trigger false alarms with compromised sensor nodes. In response to the problems of existing schemes on the security resiliency, applicability and filtering effectiveness, this paper proposes a scheme, referred to as Grouping-enhanced Resilient Probabilistic(More)
As one of the commonly used queries in modern databases, skyline query has received extensive attention from database research community. The uncertainty of the data in wireless sensor networks makes the corresponding skyline uncertain and not unique. This paper investigates the Pr-Skyline problem, i.e., how to compute the skyline with the highest existence(More)