3,570 research outputs found
AWARE: Platform for Autonomous self-deploying and operation of Wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs
This paper presents the AWARE platform that seeks to enable the cooperation of autonomous aerial vehicles with ground wireless sensor-actuator networks comprising both static and mobile nodes carried by vehicles or people. Particularly, the paper presents the middleware, the wireless sensor network, the node deployment by means of an autonomous helicopter, and the surveillance and tracking functionalities of the platform. Furthermore, the paper presents the first general experiments of the AWARE project that took place in March 2007 with the assistance of the Seville fire brigades
An objective based classification of aggregation techniques for wireless sensor networks
Wireless Sensor Networks have gained immense popularity in recent years due to their ever increasing capabilities and wide range of critical applications. A huge body of research efforts has been dedicated to find ways to utilize limited resources of these sensor nodes in an efficient manner. One of the common ways to minimize energy consumption has been aggregation of input data. We note that every aggregation technique has an improvement objective to achieve with respect to the output it produces. Each technique is designed to achieve some target e.g. reduce data size, minimize transmission energy, enhance accuracy etc. This paper presents a comprehensive survey of aggregation techniques that can be used in distributed manner to improve lifetime and energy conservation of wireless sensor networks. Main contribution of this work is proposal of a novel classification of such techniques based on the type of improvement they offer when applied to WSNs. Due to the existence of a myriad of definitions of aggregation, we first review the meaning of term aggregation that can be applied to WSN. The concept is then associated with the proposed classes. Each class of techniques is divided into a number of subclasses and a brief literature review of related work in WSN for each of these is also presented
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Context-awareness for mobile sensing: a survey and future directions
The evolution of smartphones together with increasing computational power have empowered developers to create innovative context-aware applications for recognizing user related social and cognitive activities in any situation and at any location. The existence and awareness of the context provides the capability of being conscious of physical environments or situations around mobile device users. This allows network services to respond proactively and intelligently based on such awareness. The key idea behind context-aware applications is to encourage users to collect, analyze and share local sensory knowledge in the purpose for a large scale community use by creating a smart network. The desired network is capable of making autonomous logical decisions to actuate environmental objects, and also assist individuals. However, many open challenges remain, which are mostly arisen due to the middleware services provided in mobile devices have limited resources in terms of power, memory and bandwidth. Thus, it becomes critically important to study how the drawbacks can be elaborated and resolved, and at the same time better understand the opportunities for the research community to contribute to the context-awareness. To this end, this paper surveys the literature over the period of 1991-2014 from the emerging concepts to applications of context-awareness in mobile platforms by providing up-to-date research and future research directions. Moreover, it points out the challenges faced in this regard and enlighten them by proposing possible solutions
A road-map to personalized context-aware services delivery in construction
Existing mobile IT applications in the construction industry are constrained by their reliance on static methods of information delivery, which are often not appropriate to meet changing work demand resulting from dynamic project conditions. This paper focuses on a new interaction paradigm i.e. context-aware information delivery (CAID), which promises to make information provisioning more responsive to workers’ changing work demands. A roadmap to personalized CAID in construction is laid out, with a focus on creating a pervasive user-centred intelligent work environment capable of serving relevant information needs of busy construction professionals by intelligent interpretation of their context. Research approach includes use of scenario planning method. Face-to-face unstructured interviews were arranged with 28 industry and technology experts for scenario validation and provided input for the road-mapping exercise. The research demonstrates that the realisation of the CAID vision is within reach and will tremendously enhance the value proposition of mobile information technology in the construction industry. Context-relevant and personalised information delivery will save valuable time and has the potential to improve efficiency and productivity. It can make construction ICT applications and worker’s immediate work environment more responsive to work demands, thereby allowing better management of construction projects. A key challenge is to link various technology enabling elements with methodological, cultural, social and organisational aspects specific to the construction industry. This would require a multi-disciplinary approach requiring input from different fields, including computer science, ergonomics, social studies and the construction industry
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