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Currently, atmospheric data is collected at the air-sea boundary layer by releasing radiosondes from surface ships or by mounting sensors to aircraft. Sea surface data is measured by either remote sensing or by attaching sensors to stationary surface buoys, onboard ships, and offshore platforms. Data collection processes can be time-consuming, challenging due to high sea states, and expensive due...
The Internet of Things (IoT) for agriculture is a rapidly emerging technology where seamless connected sensors device make it possible to monitor and control crop parameters to get quality and quantity of food. This research proposes a new dynamic clustering and data gathering scheme for harnessing the IoT in agriculture. In this paper, an Unmanned Aerial Vehicle (UAV) is used to locate and assist...
mHealth4Afrika is a collaborative research and innovation project, co-funded under Horizon 2020. It is focused on supporting Sustainable Development Goal 3 and Horizon 2020 Societal challenges by developing, researching and evaluating the potential impact of co-designing an open source, multilingual enabled mHealth platform to support quality community-based primary maternal healthcare delivery at...
A major limitation of mobile Crowd Sourcing (CS) applications is the generation of false (or spam) contributions due to selfish and malicious behaviors of users, or wrong perception of an event. Such false contributions induce loss of revenue through disbursement of undue incentives and also negatively affects the application's operational reliability. In this work, we propose a reputation model,...
Crowd sensing exploits users' smart devices and human mobility to collect information on a large scale. To realize a crowd sensing campaign, sensing tasks with spatio-temporal requirements are distributed to the devices that can provide the requested information. Typically, the distribution of sensing tasks relies on a centralized communication infrastructure such as cloud servers. However, such an...
Nutrition is an important factor in the prevention and treatment of many diseases. Nutrition is a key factor for obesity, which is a risk factor for cardio-vascular diseases, type-2 diabetes and even cancer. Many non-communicable diseases require patients to keep track of nutrition accurately. Diabetes type-2 and type-1 require tracking carbohydrate intake accurately. However, keeping track and even...
With the advancements in mobile sensors and health-care technologies, mobile health (mHealth) services are growing in demand. However, the deployment of mHealth's applications in rural and underdeveloped areas remains a major challenge, despite the investments made, largely due to unreliable communication infrastructures. In this paper, we propose delivering mHealth data in a highly disruptive wireless...
This paper presents an obstacle detection system able to permit the visually impaired user to get information on the surrounding complex environment. The system also allows setting an active mobile connection with the distant assistant guide. A low-cost ultrasound microcontroller based system, capable of detecting grounded or raised obstacles up to a few meters in front of the subject, is proposed...
When a user receives a phone call, his mobile phone will normally ring or vibrate immediately regardless of whether the user is available to answer the call or not, which could be disruptive to his ongoing tasks or social situation. Mobile call management systems are a type of mobile applications for coping with the problem of mobile interruption. They aim to reduce mobile interruption through effective...
While bringing massive-scale sensing at low cost, mobile participatory sensing is challenged by the low accuracy of the sensors embedded in and/or connected to the smartphones. The mobile measurements that are collected need to be corrected so as to accurately match the phenomena being observed. This paper addresses this challenge by introducing a multi-hop, multiparty calibration method that operates...
Crowdsourcing is a new paradigm which leverages human computation to finish specific tasks. Efficient incentive mechanisms are proposed to motivate crowd workers' participation, in which however, researchers frequently concentrate on offline forms. Considering worker's successive arrival and dynamic departure, we are motivated to design an online incentive mechanism. Particularly, the workers come...
Localization is a very important issue to wireless sensor networks. The sensor node requires accurate location information in order to achieve the purpose of real-time monitoring and transmission of information. The more the sensor nodes and GPS modules are used in localization, the higher the localization accuracy can achieve, but employing more sensor nodes also leads to high costs. Thus, how to...
Extending LTE to unlicensed bands (LTE-U) is gaining increasing interest recently. However, its success faces great challenges due to the inherent lack of compatibility between LTE and Wi-Fi. In this paper, we address the problem of harmonious coexistence and efficient spectrum sharing for LTE-U and Wi-Fi. We develop an analysis framework for the Carrier Sensing Adaptive Transmission (CSAT) mechanism,...
Cancer related fatigue is a chronic disease that may persist up to 10 years after treatment of cancer has been finished successfully and is one of the most prevalent problems of cancer survivors. Cancer related fatigue is a complex symptom that is not sufficiently understood and difficult to remedy. Patients do not necessarily follow a treatment plan with regular in-office follow-ups. As a consequence,...
Notifications can be relevant but they can also decrease productivity when delivered at the wrong point in time. Smartphones are increasingly capable of detecting relevant context information with the goal to decrease the number of these badly timed interruptions. Accordingly, research on context-aware notification management systems (CNMSs) on mobile devices has received increasing attention recently,...
Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data efficiently. Many incentive mechanisms for mobile crowd sensing have been proposed. However, none of them takes into consideration the cooperative compatibility of users for multiple cooperative tasks. In this paper, we design truthful incentive mechanisms to minimize the...
Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
In recent years, various sensors have been integrated into smartphones to sense the slight motions of human body. However, security researchers found that these sensors can not only be used in motion detection, but also as side-channel to reveal users' privacy data by inferring keystrokes. What is worse, as defined in W3C specifications, the mobile web applications can get these sensor readings silently...
Nowaday, mobile crowdsensing (MCS) is widely used in mobile devices, and one of the key challenges is how to motivate users to provide sensing services. In this paper, we explore the sensing task allocation in a MCS environment in which requester aims to maximize the valuation of tasks with limited budget. According to the multi-parameter bids of users including sensing costs and available time, we...
Database-driven Dynamic Spectrum Sharing (DSS) is the de-facto technical paradigm adopted by Federal Communications Commission (FCC) for increasing spectrum efficiency. In such a system, a geo-location database administrator (DBA) maintains spectrum availability information over its service region whereby to determines whether a secondary user can access a licensed spectrum band at his desired location...
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