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Energy harvesting (EH) is considered to be the key enabling technology for the mass deployment of wireless sensor networks (WSNs) for Internet of Things (IoT) applications. Efficient EH techniques could remove the needs of frequent energy source replacement, thus offering a near perpetual network operating environment. Advances in EH techniques have shifted the design of routing protocols for EH-WSN...
With the increasing deployment of wireless sensor networks (WSNs), the demand for energy efficiency (EE) and Quality of Service (QoS) guarantee for such networks is on the rise. In a distributed WSN, the EE could be directly related to the operational expenditure (OPEX) due to the frequent replacement of batteries. An increasing EE helps prolong the network lifetime. Energy efficiency in a WSN can...
Wireless Sensor Networks (WSNs) become more and more popular nowadays. They are applied not only in civilian but also in military. However, when having numerous data, we have to preserve them secretly and can acknowledge which information we need. In this paper, while keeping data privacy, we focus on four queries: value query, range query, outlier query and hot items. Moreover, we can identify outlier...
Wireless Sensor Networks (WSNs) gain popularity these days. WSNs have been one of key technologies for the future with broad applications from the military to everyday life. There are two kinds of WSNs model models with sensors for sensing data and a server for receiving and processing queries from users, and models with special additional nodes, their common names are storage nodes, between the sensors...
In wireless multimedia sensor networks (WMSNs), low cost complementary metal oxide semiconductor (CMOS) camera sensors may only produce low resolution images due to hardware limitations. However, super-resolution images may be constructed from these low resolution images in a multiple sensor network, improving object pattern recognition success rates. There is a critical image recognition challenge...
Cooperative unmanned aerial vehicle (UAV) teams can serve as a mobile sensor networks to autonomously execute sensing tasks in uncertain and dynamic environments. We have implemented a UAV system that performs collaborative sensing missions under the supervision of a single user. Decentralized task allocation and autonomous mission execution are enabled by onboard computing and ad-hoc wireless communication...
This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A binary sensor is an extremely coarse sensor, capable of measuring data to only 1-bit accuracy. Our proposed stochastic framework employs a large number of cheap binary sensors operating in a noisy environment, yet collaboratively...
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