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With the rise of sensors such as the Microsoft Kinect, Leap Motion, and hand motion sensors in phones (i.e., Samsung Galaxy S6), gesture-based interfaces have become practical. Unfortunately, today, to recognize such gestures, applications must have access to depth and video of the user, exposing sensitive data about the user and her environment. Besides these privacy concerns, there are also security...
"Cold Start" in participatory sensing applications refers to the initial stage in service deployment, during which service adoption remains sparse and, hence, the collected data does not offer adequate coverage. Predictive models, learned from data, offer a way to generalize from sparse observations, but the models themselves need to be statistically reliable to offer a reliable service...
Social sensing is a new application paradigm of cyber-physical-social systems (CPSS), where a group of individualsvolunteer to report their claims about the physicalenvironment using cyber devices. A fundamental problem insocial sensing application is to ascertain source reliability andthe claim correctness without knowing either of them a priori, which is referred to as truth finding. Several key...
Wireless Sensor Networks (WSNs) have been widely recognized as a promising solution for enhancing various aspects of electric power grid and realizing the vision of smart grid. However, energy crisis and challenging wireless environment in smart grid create a number of challenges for WSNs, as a result of which energy efficiency become critically important. On the other hand, cognitive radio (CR) technology...
With the advance of Car2X communication models, vehicles become a virtual part of intelligent traffic infrastructures, requiring remote interaction of safety-critical components. The availability of such an integrated system could provide high advantage for the mobility of persons and goods. In this scenario, one of the main concerns with intelligent cars and their network interconnectivity is the...
Participatory sensing (PS) is an emerging socio-technological paradigm in which citizens voluntarily participate and contribute to a distributed information system using applications installed in their hand-held devices. It can be found in a number of real-life applications, viz. traffic monitoring, air/sound pollution, garbage monitoring, social networking, commodity pricing, and so on. In these...
Cyber-Physical Systems (CPS) provide many smart features for enhancing physical processes. These systems are designed with a set of distributed hardware, software, and network components that are embedded in physical systems and environments or attached to humans. Together they function seamlessly to offer specific functionalities or features that help enhance human lives, operations or environments...
The coverage problem is one of the most fundamental issues in a wireless sensor network, which directly affects the capability and efficiency of the sensor network. In this paper, we formulate this problem as a construction problem to find a topology that covers the required sensing area with high reliability. Deploying a good topology is also beneficial to management and energy saving. We propose...
In recent years crowdsourcing systems have shown to provide important benefits to Smartcities, where ubiquitous citizens, acting as mobile human sensors, assist in responding to signals and providing real-time information about city events, to improve the quality of life for businesses and citizens. In this paper we present REquEST, our approach to selecting a small subset of human sensors to perform...
Cooperative spectrum sensing (CSS) has been proposed as a solution for radio spectrum resources scarcity problem. Clustering technique is introduced to increase the performance of CSS and overcome the shadowing and fading effects, also to reduce the control channel overhead for big number of cooperative users. However, Clustering is facing two major issues which are the data falsification caused by...
A Linear Wireless Sensors Network (LSN) is a sensor network model used for monitoring linear structures such as oil, gas, and water pipelines. This type of network depends on the information sent from one node to another in a sequence. As a result, a failure or attack that occurs at any node may isolate some nodes from the network, which will affect the reliability of the entire network. In this situation,...
Operational ocean observing system (OOOS) can meet the needs of marine disaster prevention and reduction, safeguard socio-economic development in coastal zones, and promote marine resource exploitation. As a solid foundation for the establishment of the OOOS, operational ocean observing equipment (OOOE) is attached great significance across the world. Three kinds of OOOEs in China are introduced and...
This work is motivated by the emergence of social sensing as a new paradigm of collecting observations about the physical environment from humans or devices on their behalf. These observations may be true or false, and hence are viewed as binary claims. A fundamental problem in social sensing applications lies in ascertaining the correctness of claims and the reliability of data sources without knowing...
Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems can benefit from the knowledge of the activity statistics of primary channels. A particularly relevant statistic is the Channel Occupancy Rate (COR) of a primary channel, which represents the probability that a channel is occupied by a primary user. The COR can be estimated based on a set of binary (idle/busy) spectrum sensing decisions. However,...
Cooperative spectrum sensing (CSS) has been proposed as a solution for radio spectrum resources scarcity problem. Clustering technique is introduced to increase the performance of CSS and overcome the shadowing and fading effects, also to reduce the control channel overhead for big number of cooperative users. However, Clustering is facing two major issues which are the data falsification caused by...
This paper investigates the multi-sensor state estimation over lossy wireless channels for industrial CPSs. We firstly discover the relationship between the multi-sensor state estimation error and the measurement arrival rate, based on which a cognitive radio enabled redundant transmission strategy is proposed to improve the transmission reliability. Then the transmission strategy is set by solving...
Resonant SAW strain sensing elements used in non-contact torque, force and vibration sensors are investigated from the point of view of their stability and durability. Results of fatigue testing of the SAW sensing elements bonded to metal shafts with a stiff adhesive are presented. They demonstrate the sensor durability and stability of the strain sensitivity up to 13 million strain cycles. Stability...
This paper highlights the benefits of IEEE 802.15.4's unslotted carrier sense multiple access collision avoidance (CSMA-CA) MAC layer acknowledgements (ACKs) in ad-hoc wireless networks. We performed different experimental studies to analyse the impact of enabling and disabling the ACKs on event detection ratio (EDR), available bandwidth estimator, and flow admission control algorithms. Comparison...
The need for maintenance is based on the wear of components of machinery. If this need can be defined reliably beforehand so that no unpredicted failures take place then the maintenance actions can be carried out economically with minimum disturbance to production. There are two basic challenges in solving the above. First understanding the development of wear and failures, and second managing the...
The paper develops a recursive state estimator for social network data streams that allows exploitation of social networks, such as Twitter, as sensor networks to reliably observe physical events. Recent literature suggested using social networks as sensor networks leveraging the fact that much of the information upload on the former constitutes acts of sensing. A significant challenge identified...
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