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In opportunistic mobile crowdsensing, data can be collected by leveraging human mobility and smartphones' sensors. In this paper, we propose Re-OPSEC, a framework for tasking effective providers from the crowd at real time in energy efficient way. Re-OPSEC piggybacks sensing tasks with volunteer-specific connectivity patterns called online episodes. That is those times when smartphones have a mobile...
In this paper, the recognition of and the differentiation between fall activities and activities of daily living (ADL) was performed using the MobiFall dataset. A large database was constructed to train and validate the model. Feature selection methods were implemented to reduce dimensionality. Five different classification algorithms were implemented and evaluated based on their accuracy' sensitivity,...
A major challenge in wireless sensor network (WSN) is data collection in a disconnected network while ensuring a viable throughput for the sensors or the nodes in the network. Incorporating mobility-assisted data collection where no other means of data gathering is feasible is a growing trend among researchers. There are many works in literature which exploit mobility to derive throughput using protocol...
In the cooperative spectrum sensing, it is not that the more cooperative sensing nodes are, the better the sensing performance is. How to select suitable sensing nodes to participate in fusion is a key problem in the cooperative spectrum sensing. This paper proposed a new cooperative spectrum sensing algorithm, in which the sensing nodes to participate in fusion is selected according to the reliability...
We propose a novel algorithm for cooperative localization in wireless networks where relative node distances are available. The proposed algorithm is a trimodal version of variational message passing (VMP). Compared to VMP and bimodal VMP algorithms, the so called tri-VMP algorithm features better localization accuracy for almost the same complexity and cost. This is supported by simulations and measurements...
In most applications of Ground Penetrating Radar (GPR), it is very important to combine the radar with an accurate positioning system. This allows solving errors in the localisation of buried objects, which may be generated by measurement conditions such as the soil slope, in the case of a ground-coupled GPR, and the aerial vehicle altitude, in the case of a GPR mounted on a drone or helicopter. This...
The behavioral analysis of individuals is an important science, especially if it is conducted on the elderly population, aiming to prevent Mild Cognitive Impairment (MCI) and frailty problems. A fundamental aspect in this context is to explore the use of innovative technologies enabling the Internet of Things (IoT), above all sensors, to unobtrusively capture personal data for automatically recognizing...
Cognitive radio is the fundamental component for the future generations of wireless communication. Indeed, by sensing its environment, the cognitive radio will be able to exploit unused frequencies for opportunistic wireless communications. In this paper, a new sensing method in the narrowband context is proposed for ray propagation channels by combining the spatial scanning technique with the maximum...
Future wireless networks are witnessing a major demand for mobile data, which necessitates reconsidering the design and deployment of their infrastructures. To fill this gap, the next-generation mobile 5G is defined as one of the promising solutions. Although the heterogeneous network, the small cell concept and the Cognitive Radio (CR) are considered as key drive technologies for 5G, the major challenge...
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