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Proceedings ArticleDOI

Context Aware Data Collection Framework for Critical Infrastructure Monitoring System

TLDR
A novel data collection framework to serve different applications used for critical infrastructure monitoring adopts a context-aware forwarding strategy to ensure higher delivery reliability and the overall cost of data collection is significantly low.
Abstract
With the exponential increase in number of connected sensor devices for various smart home applications, a huge amount of heterogeneous data are generated every day. Collection technique plays a crucial role in defining the application QoS. In this paper, we propose a novel data collection framework to serve different applications used for critical infrastructure monitoring. The proposed framework adopts a context-aware forwarding strategy to ensure higher delivery reliability. The overall cost of data collection is significantly low due to the incorporation of in-network data aggregation and fusion on demand basis. The effectiveness of the proposed scheme has also been established using simulation results.

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Journal ArticleDOI

Context Aware Computing for The Internet of Things: A Survey

TL;DR: This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
Journal ArticleDOI

Multisensor data fusion: A review of the state-of-the-art

TL;DR: A comprehensive review of the data fusion state of the art is proposed, exploring its conceptualizations, benefits, and challenging aspects, as well as existing methodologies.
Journal ArticleDOI

Information fusion for wireless sensor networks: Methods, models, and classifications

TL;DR: This work surveys the current state-of-the-art of information fusion by presenting the known methods, algorithms, architectures, and models, and discusses their applicability in the context of wireless sensor networks.
Journal ArticleDOI

Multi-sensor context-awareness in mobile devices and smart artifacts

TL;DR: This article proposes a different approach based on integration of multiple diverse sensors for awareness of situational context that can not be inferred from location, and targeted at mobile device platforms that typically do not permit processing of visual context.
Journal ArticleDOI

EDAL: an energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks

TL;DR: This work develops one data collection protocol called EDAL, which stands for Energy-efficient Delay-aware Lifetime-balancing data collection, and proposes both a centralized heuristic to reduce its computational overhead and a distributed heuristics to make the algorithm scalable for large-scale network operations.
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