Contexts enabled Decision Making using sensors to perceive pervasive environment
TL;DR: This work assists to combine various basic low level contexts to provide reliable decision making in the pervasive environment using sensor networks and context aware computing to bring automated decision making along with accuracy information.
About: This article is published in Procedia Computer Science.The article was published on 2018-01-01 and is currently open access. It has received 1 citations till now. The article focuses on the topics: Smart environment & Ubiquitous computing.
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TL;DR: A dynamic decision-making algorithm (DDMA) for deployment of sensors using self-organising map (SOM) such that the nodes will adjust their locations to uncovered area by failed sensor node in the changing sensing environment is presented.
Abstract: Wireless sensor networks (WSNs) are applicable in most of the domains of engineering Presently, Heterogeneous WSN (HWSN) is gaining more importance than homogeneous WSN One of the major challenge
3 citations
Cites methods from "Contexts enabled Decision Making us..."
...Example of collaboration and their application include: perceiving pervasive environment using context-aware decision-making [44], intrusion detection in WSN using randomised algorithms [33] and AI for data aggregation in WSN [34]....
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References
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01 Jun 2008
TL;DR: This paper reports on the current state of the research on optimized node placement in WSNs, and categorizes the placement strategies into static and dynamic depending on whether the optimization is performed at the time of deployment or while the network is operational, respectively.
Abstract: The major challenge in designing wireless sensor networks (WSNs) is the support of the functional, such as data latency, and the non-functional, such as data integrity, requirements while coping with the computation, energy and communication constraints. Careful node placement can be a very effective optimization means for achieving the desired design goals. In this paper, we report on the current state of the research on optimized node placement in WSNs. We highlight the issues, identify the various objectives and enumerate the different models and formulations. We categorize the placement strategies into static and dynamic depending on whether the optimization is performed at the time of deployment or while the network is operational, respectively. We further classify the published techniques based on the role that the node plays in the network and the primary performance objective considered. The paper also highlights open problems in this area of research.
924 citations
08 Jan 2000
TL;DR: An analysis of how people start a conversation in situations where they meet physically, especially looking at the influence of the situation is provided and the solution is to exchange context information before initiating the call.
Abstract: In this paper we introduce a novel approach to sharing context in order to enhance the social quality of remote mobile communication. We provide an analysis of how people start a conversation in situations where they meet physically, especially looking at the influence of the situation. This is then compared to the way remote communication is initiated using mobile phones. The lack of knowledge about the situation at the other end leads to the initiation of calls which are not appropriate to that situation. The solution we propose is to exchange context information before initiating the call. We implemented this concept using the Wireless Application Protocol (WAP). The application Context-Call offers a phone interface that provides information about the receiver when setting up a call. Based on that information, the caller can then decide to place the call, to leave a message or to cancel the call. Privacy issues that arise from this technology are discussed also.
115 citations
TL;DR: A fully distributed protocol, CollECT, to event detection and tracking in wireless heterogeneous sensor networks (WHSNs), which consists of various types of sensor nodes with different sensing units, and results validate the performance of CollECT in terms of accuracy of event tracking and fitness of the border sensor nodes selected.
65 citations
01 Jan 2015
TL;DR: This chapter first describes the relevant backgrounds from industry, computer science, and psychology of Context-Aware Assistive Systems, then provides a generic model of CAAS and presents a revised and improved implementation.
Abstract: Recent advances in motion recognition allow the development of Context-Aware Assistive Systems (CAAS) for industrial workplaces that go far beyond the state of the art: they can capture a user’s movement in real-time and provide adequate feedback. Thus, CAAS can address important questions, like Which part is assembled next? Where do I fasten it? Did an error occur? Did I process the part in time? These new CAAS can also make use of projectors to display the feedback within the corresponding area on the workspace (in-situ). Furthermore, the real-time analysis of work processes allows the implementation of motivating elements (gamification) into the repetitive work routines that are common in manual production. In this chapter, the authors first describe the relevant backgrounds from industry, computer science, and psychology. They then briefly introduce a precedent implementation of CAAS and its inherent problems. The authors then provide a generic model of CAAS and finally present a revised and improved implementation.
26 citations
TL;DR: The authors highlight some of the newer platforms, communication technologies, sensors, actuators, and cloud-based development tools, which are creating new opportunities for ubiquitous computing.
Abstract: The emergence of many new embedded computing platforms has lowered the hurdle for creating ubiquitous computing devices. Here, the authors highlight some of the newer platforms, communication technologies, sensors, actuators, and cloud-based development tools, which are creating new opportunities for ubiquitous computing.
18 citations