Archive
The main idea behind social participatory sensing is to leverage social friends as crowd workers to participate in mobile sensing tasks. A main challenge, however, is the recruitment of sufficient number of well-suited participants. Contributing sensing data requires time and monetary cost and may potentially impose privacy risks. This may lead to the unwillingness of the participants to contribute […]
Opportunistic Internet of Things (IoT) extends the concept of opportunistic networking combining human users carrying mobile devices and smart things. It explores the relationships between humans and the opportunistic connection of smart objects. This paper presents a software infrastructure, named Opportunistic IoT Platform (OIoT), which helps developers to create and manage opportunistic IoT communities between smart devices. […]
In this paper we propose resource optimization for subscription based media content crowdsourcing. In this form of crowdsourcing, interested entities (we refer to them as Campaigners) announce their `interests’ expressing what media content (such as pictures, audio, and videos) they want to receive from participant users whereas mobile users subscribe to those interests as an […]
Vital signs obtained from people playing various types of sports can be exploited not only for diagnosing their physical conditions but also for learning the best practice to be followed to enhance their sporting abilities and skills. In this paper, focusing on a framework to collect vital data from a human group consisting of a […]
Data Mining is the extraction of hidden predictive information from large databases. The process of discovering interesting, useful, nontrivial patterns from large spatial datasets is called spatial data mining. When time gets associated it becomes spatio temporal data mining. The study of spatio temporal data mining is of great concern for the study of mobile […]
With large data volumes being generated through Google search, Facebook, Twitter, Instagram, and the increasingly instrumented physical world (with embedded sensors), the authors discuss whether such data can be the basis of a new transactional relationship between people and companies in which both sides benefit from new products and services and increased economic growth. However, the […]
The introduction of ubiquitous systems, wearable computing and ‘Internet of Things’ technologies in our digital society results in a large-scale data generation. Environmental, home, and mobile sensors are only a few examples of the significant capabilities to collect massive data in real-time from a plethora of heterogeneous social environments. These capabilities provide us with a unique opportunity to understand […]
Driving is an integral part of our everyday lives, and the average driving time of people globally is increasing to 84 minutes everyday, which is a time when people are uniquely vulnerable. A number of research works have identified that mobile crowd sensing in vehicular social networks (VSNs) can be effectively used for many purposes and bring huge […]
Flash flood is a natural disaster that causes great losses; it happens mostly in rural areas. Heavy rainfall is gathered into the main river on watershed areas. Lots of water comes into the river. This causes a great volume of water flows down to the lower area of watershed. The great volume of water rapidly […]
The single greatest opportunity to improve health and reduce premature death lies in personal behavior. While technology-based behavior intervention has been around for many years, the emerging smartphone and wearable sensing technology brings great promise to push health behavior change further by inferring and predicting real-time behavior occurrence and its context. In this paper, we […]
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