2,403 research outputs found
Performance of data aggregation for wireless sensor networks
This thesis focuses on three fundamental issues that concern data aggregation protocols for periodic data collection in sensor networks: which sensor nodes should report their data, when should they report it, and should they use unicast or broadcast based protocols for this purpose.
The issue of when nodes should report their data is considered in the context of real-time monitoring applications. The first part of this thesis shows that asynchronous aggregation, in which the time of each node’s transmission is determined adaptively based on its local history of past packet receptions from its children, outperforms synchronous aggregation by providing lower delay for a given end-to-end loss rate.
Second, new broadcast-based aggregation protocols that minimize the number of packet transmissions, relying on multipath delivery rather than automatic repeat request for reliability, are designed and evaluated. The performance of broadcast-based aggregation is compared to that of unicast-based aggregation, in the context of both real-time and delay-tolerant data collection.
Finally, this thesis investigates the potential benefits of dynamically, rather than semi-statically, determining the set of nodes reporting their data, in the context of applications in which coverage of some monitored region is to be maintained. Unicast and broadcast-based coverage-preserving data aggregation protocols are designed and evaluated. The performance of the proposed protocols is compared to that of data collection protocols relying on node scheduling
Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features
The use of IoT technology is rapidly increasing in healthcare development and smart
healthcare system for fitness programs, monitoring, data analysis, etc. To improve the efficiency
of monitoring, various studies have been conducted in this field to achieve improved precision.
The architecture proposed herein is based on IoT integrated with a cloud system in which power
absorption and accuracy are major concerns. We discuss and analyze development in this domain
to improve the performance of IoT systems related to health care. Standards of communication for
IoT data transmission and reception can help to understand the exact power absorption in different
devices to achieve improved performance for healthcare development. We also systematically analyze
the use of IoT in healthcare systems using cloud features, as well as the performance and limitations
of IoT in this field. Furthermore, we discuss the design of an IoT system for efficient monitoring of
various healthcare issues in elderly people and limitations of an existing system in terms of resources,
power absorption and security when implemented in different devices as per requirements. Blood
pressure and heartbeat monitoring in pregnant women are examples of high-intensity applications
of NB-IoT (narrowband IoT), technology that supports widespread communication with a very
low data cost and minimum processing complexity and battery lifespan. This article also focuses
on analysis of the performance of narrowband IoT in terms of delay and throughput using singleand
multinode approaches. We performed analysis using the message queuing telemetry transport
protocol (MQTTP), which was found to be efficient compared to the limited application protocol
(LAP) in sending information from sensors.Ministerio Español de Ciencia e Innovación under project
number PID2020-115570GB-C22 (DemocratAI::UGR)Cátedra de Empresa Tecnología para
las Personas (UGR-Fujitsu
From MANET to people-centric networking: Milestones and open research challenges
In this paper, we discuss the state of the art of (mobile) multi-hop ad hoc networking with the aim to present the current status of the research activities and identify the consolidated research areas, with limited research opportunities, and the hot and emerging research areas for which further research is required. We start by briefly discussing the MANET paradigm, and why the research on MANET protocols is now a cold research topic. Then we analyze the active research areas. Specifically, after discussing the wireless-network technologies, we analyze four successful ad hoc networking paradigms, mesh networks, opportunistic networks, vehicular networks, and sensor networks that emerged from the MANET world. We also present an emerging research direction in the multi-hop ad hoc networking field: people centric networking, triggered by the increasing penetration of the smartphones in everyday life, which is generating a people-centric revolution in computing and communications
Provisioning Quality of Service of Wireless Telemedicine for E-Health Services: A Review
In general, on-line medical consultation reduces time required for medical consultation
and induces improvement in the quality and efficiency of healthcare services. The scope of study includes several key features of present day e-health applications such as
X-ray, ECG, video, diagnosis images and other common applications. Moreover, the provision of Quality of Service (QoS) in terms of specific medical care services in e-health, the priority set for e-health services and the support of QoS in wireless networks and techniques
or methods aimed at IEEE 802.11 to secure the provision of QoS has been assessed as
well. In e-health, medical services in remote places which include rustic healthcare centres,
ships, ambulances and home healthcare services can be supported through the applications of e-health services such as medical databases, electronic health data and the transferring of text, video, sound and images. Given this, a proposal has been made for a multiple service
wireless networking with multiple sets of priorities. In relation to the terms of an acceptable QoS level by the customers of e-health services, prioritization is an important criterion in a multi-traffic network. The requirement for QoS in medical networking of wireless broadband has paved the way for bandwidth prerequisites and the live transmission or real-time medical
applications. The proposed wireless network is capable of handling medical applications for both normal and life-threatening conditions as characterized by the level of emergencies. In addition, the allocation of bandwidth and the system that controls admittance designed based
on IEEE 802.16 especially for e-health services or wireless telemedicine will be discussed in
this study. It has been concluded that under busy traffic conditions, the proposed architecture
can used as a feasible and reliable infrastructure network for telemedicine
Big Data and the Internet of Things
Advances in sensing and computing capabilities are making it possible to
embed increasing computing power in small devices. This has enabled the sensing
devices not just to passively capture data at very high resolution but also to
take sophisticated actions in response. Combined with advances in
communication, this is resulting in an ecosystem of highly interconnected
devices referred to as the Internet of Things - IoT. In conjunction, the
advances in machine learning have allowed building models on this ever
increasing amounts of data. Consequently, devices all the way from heavy assets
such as aircraft engines to wearables such as health monitors can all now not
only generate massive amounts of data but can draw back on aggregate analytics
to "improve" their performance over time. Big data analytics has been
identified as a key enabler for the IoT. In this chapter, we discuss various
avenues of the IoT where big data analytics either is already making a
significant impact or is on the cusp of doing so. We also discuss social
implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski
(eds.) Big Data Analysis: New algorithms for a new society, Springer Series
on Studies in Big Data, to appea
Applications
Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications
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