A DASH7-Based WSN Node with IEEE 1451 Compatibility for Precision Farming Applications
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A Comparative Study on Operating System for Wireless Sensor Networks
ICACSIS 2011 ISBN: 978-979-1421-11-9 A Comparative Study on Operating System for Wireless Sensor Networks Thang Vu Chien, Hung Nguyen Chan, and Thanh Nguyen Huu Thai Nguyen University of Information and Communication Technology Quyet Thang Commune, Thai Nguyen City, Vietnam E-mail: [email protected], [email protected], [email protected] Abstract—Wireless Sensor Networks (WSNs) them work correctly and effectively without a conflict have been the subject of intensive research over the in support of the specific applications for which they last years. WSNs consist of a large number of are designed. Each sensor node needs an OS that can sensor nodes, and are used for various applications control the hardware, provide hardware abstraction to such as building monitoring, environment control, application software, and fill in the gap between wild-life habitat monitoring, forest fire detection, applications and the underlying hardware. industry automation, military, security, and health- The basic functionalities of an OS include resource care. Operating system (OS) support for WSNs abstractions for various hardware devices, interrupt plays a central role in building scalable distributed management and task scheduling, concurrency control, applications that are efficient and reliable. Over and networking support. Based on the services the years, we have seen a variety of operating provided by the OS, application programmers can systems (OSes) emerging in the sensor network conveniently use high-level application programming community to facilitate developing WSN interfaces (APIs) independent of the underlying applications. In this paper, we present OS for WSNs. We begin by presenting the major issues for hardware. -
Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy
Journal of Sensor and Actuator Networks Review Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy Nahla S. Abdel Azeem 1, Ibrahim Tarrad 2, Anar Abdel Hady 3,4, M. I. Youssef 2 and Sherine M. Abd El-kader 3,* 1 Information Technology Center, Electronics Research Institute (ERI), El Tahrir st, El Dokki, Giza 12622, Egypt; [email protected] 2 Electrical Engineering Department, Al-Azhar University, Naser City, Cairo 11651, Egypt; [email protected] (I.T.); [email protected] (M.I.Y.) 3 Computers & Systems Department, Electronics Research Institute (ERI), El Tahrir st, El Dokki, Giza 12622, Egypt; [email protected] 4 Department of Computer Science & Engineering, School of Engineering and Applied Science, Washington University in St. Louis, St. Louis, MO 63130, 1045, USA; [email protected] * Correspondence: [email protected] Received: 19 March 2019; Accepted: 7 May 2019; Published: 15 May 2019 Abstract: The rabid growth of today’s technological world has led us to connecting every electronic device worldwide together, which guides us towards the Internet of Things (IoT). Gathering the produced information based on a very tiny sensing devices under the umbrella of Wireless Sensor Networks (WSNs). The nature of these networks suffers from missing sharing among them in both hardware and software, which causes redundancy and more budget to be used. Thus, the appearance of Shared Sensor Networks (SSNs) provides a real modern revolution in it. Where it targets making a real change in its nature from domain specific networks to concurrent running domain networks. That happens by merging it with the technology of virtualization that enables the sharing feature over different levels of its hardware and software to provide the optimal utilization of the deployed infrastructure with a reduced cost. -
Overview of Wireless Sensor Network (WSN) Security
Overview of Wireless Sensor Network (WSN) Security Aparicio Carranza Heesang Kim Xiao Lin Chen NYC College of Technology NYC College of Technology NYC College of Technology 186 Jay Street – V626 186 Jay Street 186 Jay Street Brooklyn, NY, USA Brooklyn, NY, USA Brooklyn NY, USA 718 – 260 – 5897 703 – 232 – 2001 917 – 285 - 5155 [email protected] [email protected] xiaolin,[email protected] ABSTRACT of different transmission schemes, allowing the connection Our civilization has entered an era of big data networking. to be made between different models. A router is a good Massive amounts of data is being converted into bits for example of a gateway. There are two common Wireless transmitting over the Internet and shared all over the world network topologies commonly used in WSN systems, they every second. The concept of “smart” devices has are “relay nodes” and “leaf nodes”. The relay network is a conquered preconceived notions of daily routines. broad network topology where the source and destination Smartphones and wearable device technologies have made are interconnected through some node. In these networks, humans to be continuously interconnected, making distance the source and destination cannot communicate directly a factor of no limitation. “Smart” systems are based on a with each other because the distance between the source single concept called the Internet of Things (IoT). IoT is a and destination is greater than the transmission range, due web of wirelessly networked devices embedded with to this an intermediate node needs to relay. The advantage electronic components and sensors that monitors physical of using the relay nodes is that the information can travel and environmental conditions and acquires data to be long distances even when the caller and recipient are far shared with other systems. -
Monitoring High Voltage Power Lines Using Efficient WSN
Advances in Energy and Power 7(1): 10-19, 2020 http://www.hrpub.org DOI: 10.13189/aep.2020.070102 Monitoring High Voltage Power Lines Using Efficient WSN Khaled Al-Maitah, Batool Al-Khriesat, Abdullah Al-Odienat* Department of Electrical Engineering, Faculty of Engineering, Mutah University, Jordan Received March 13, 2020; Revised April 22, 2020; Accepted April 27, 2020 Copyright©2020 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract The power transmission line is one of most [1]. Moreover, power systems are now highly critical components in electrical power system. In order to interconnected which allows the transfer of a large enhance the reliability of the large power systems, an electrical energy over long distances far from the source of advanced and efficient Wireless Sensor Network (WSN) generation to locations suffer of lack in electrical energy [2] must be employed along power transmission line. However, [3]. time delay has emerged as one of the most critical issues in In power systems, transmission lines are critical the design of WSN-based monitoring network of components from the reliability and stability view point. transmission lines. This paper proposes a new model for There is a real need for an efficient monitoring system of WSN for monitoring High Voltage Transmission Line the transmission lines to enhance the normal operation of (HVTL) which improves the needed time delay to transmit the power system and avoid the major disconnections and the measured quantity from transmission line towers to the blackouts [4]. -
System Architecture Directions for Post-Soc/32-Bit Networked Sensors Hyung-Sin Kim, Michael P Andersen, Kaifei Chen, Sam Kumar, William J
System Architecture Directions for Post-SoC/32-bit Networked Sensors Hyung-Sin Kim, Michael P Andersen, Kaifei Chen, Sam Kumar, William J. Zhao, Kevin Ma, and David E. Culler Department of Electrical Engineering and Computer Sciences, University of California, Berkeley (hs.kim,m.andersen,kaifei,samkumar,william_zhao,kevinma.sd,culler)@berkeley.edu ABSTRACT those that have guided design over the past 20 years, since the The emergence of low-power 32-bit Systems-on-Chip (SoCs), which emergence of the field [31, 37]. While it is easy to observe high- integrate a 32-bit MCU, radio, and flash, presents an opportunity level trends and infer that at some point conventional concurrency to re-examine design points and trade-offs at all levels of the sys- models and networking stacks will fit on this class of computing tem architecture of networked sensors. To this end, we develop a platform, when dealing with low power embedded operation, the post-SoC/32-bit design point called Hamilton, showing that using devil is always in the details. integrated components enables a ∼$7 core and shifts hardware mod- The datasheets for modern 32-bit System-on-Chip units (SoCs) ularity to design time. We study the interaction between hardware with an integrated microcontroller (MCU) and radio are truly im- and embedded operating systems, identifying that (1) post-SoC pressive [10, 43]. Thread-based OSes have reemerged (e.g., RIOT motes provide lower idle current (5.9 µA) than traditional 16-bit [14]), and commercially-driven IPv6 network protocols have arrived motes, (2) 32-bit MCUs are a major energy consumer (e.g., tick (e.g., OpenThread [71]). -
Biology Inspired Approach for Communal Behavior in Sensor Networks
Biology Inspired Approach for Communal Behavior in Sensor Networks K. H. Jones K. N. Lodding NASA Langley Research Center NASA Langley Research Center Hampton, VA 23681 Hampton, VA 23681 [email protected] [email protected] S. Olariu L. Wilson C. Xin Old Dominion University Old Dominion University Norfolk State University Norfolk, VA 23529 Norfolk, VA 23529 Norfolk, VA 23504 [email protected] [email protected] [email protected] Abstract housing, and other necessities. The realization of this dream has progressed for several centuries but has Research in wireless sensor network technology has taken a revolutionary leap through the invention of exploded in the last decade. Promises of complex and electronic computers, which facilitate more ubiquitous control of the physical environment by automation of machines. Futurists have long predicted these networks open avenues for new kinds of science that machines would eventually communicate and and business. Due to the small size and low cost of cooperate with each other to accomplish sensor devices, visionaries promise systems enabled extraordinarily complex tasks without human by deployment of massive numbers of sensors working intervention [20]. in concert. Although the reduction in size has been phenomenal it results in severe limitations on the While futurists long dreamed of machines working computing, communicating, and power capabilities of with other machines, a giant step towards realization these devices. Under these constraints, research of this dream may be credited to a DARPA sponsored efforts have concentrated on developing techniques program, SmartDust, originated in the late 1990’s for performing relatively simple tasks with minimal [11,26]. -
A Comparative Study Between Operating Systems (Os) for the Internet of Things (Iot)
VOLUME 5 NO 4, 2017 A Comparative Study Between Operating Systems (Os) for the Internet of Things (IoT) Aberbach Hicham, Adil Jeghal, Abdelouahed Sabrim, Hamid Tairi LIIAN, Department of Mathematic & Computer Sciences, Sciences School, Sidi Mohammed Ben Abdellah University, [email protected], [email protected], [email protected], [email protected] ABSTRACT Abstract : We describe The Internet of Things (IoT) as a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data in real time with the outside world. It therefore assumes an operating system (OS) which is considered as an unavoidable point for good communication between all devices “objects”. For this purpose, this paper presents a comparative study between the popular known operating systems for internet of things . In a first step we will define in detail the advantages and disadvantages of each one , then another part of Interpretation is developed, in order to analyze the specific requirements that an OS should satisfy to be used and determine the most appropriate .This work will solve the problem of choice of operating system suitable for the Internet of things in order to incorporate it within our research team. Keywords: Internet of things , network, physical object ,sensors,operating system. 1 Introduction The Internet of Things (IoT) is the vision of interconnecting objects, users and entities “objects”. Much, if not most, of the billions of intelligent devices on the Internet will be embedded systems equipped with an Operating Systems (OS) which is a system programs that manage computer resources whether tangible resources (like memory, storage, network, input/output etc.) or intangible resources (like running other computer programs as processes, providing logical ports for different network connections etc.), So it is the most important program that runs on a computer[1]. -
A Holistic Framework for Open Low-Power Internet of Things
A Holistic Framework for Open Low-Power Internet of Things Technology Ecosystems Peng Hu1, Member, IEEE Abstract The low-power Internet of Things (IoT) has been thriving because of the recent technological advancement and ecosystems meeting the vertical application requirements and market needs. An open IoT technology ecosystem of the low-power IoT has become increasingly important to all the players and stakeholders and to the research community. However, there are several mainstream low-power IoT ecosystems available out of industry consortia or research projects and there are different models implied in them. We need to identify the working framework behind the scene and find out the principle of driving the future trends in the industry and research community. With a close look at these IoT technology ecosystems, four major business models are identified that can lead to the proposed ecosystem framework. The framework considers the technical building blocks, market needs, and business vertical segments, where these parts are making the IoT evolve as a whole for the years to come. I. Introduction Internet advances with the openness in mind, so does the Internet of Things (IoT). An IoT system benefit from various kinds of technologies and developmental efforts driven by open IoT technology ecosystems involving open standards, open source tools, and open platforms with key stakeholders. Over the past decade, the innovative sensors, embedded systems, cloud computing, wireless networking technologies have been enriching the openness of IoT systems and fulfilling the needs of IoT system development. As a result, on the one hand, these technologies enable the extremely less power consumption on IoT devices than before, which enables a broad spectrum of zero-battery and battery-powered applications. -
NIST Technical Note 1604 Practical Challenges in Wireless Sensor
NIST Technical Note 1604 Practical Challenges in Wireless Sensor Network Use in Building Applications William M. Healy Won-Suk Jang NIST Technical Note 1604 Practical Challenges in Wireless Sensor Network Use in Building Applications William M. Healy Won-Suk Jang Building Environment Division Building and Fire Research Laboratory September 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology Patrick D. Gallagher, Deputy Director i Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. National Institute of Standards and Technology Technical Note 1604 Natl. Inst. Stand. Technol. Tech. Note 1604, 12 pages (September 2008) ii Abstract While wireless sensor network technology has advanced in recent years, potential users of these systems in buildings still have concerns about their application. This report summarizes results of a literature survey and interactions with building industry professionals that were designed to gain an understanding of the barriers to adoption of wireless sensors in buildings. Users have concerns with cost, reliability, power management, interoperability, ease of use, and security. This work is meant to set the stage for the development of measurement techniques that will provide better metrics for how wireless sensor systems perform in actual building applications. Keywords Wireless; sensor; building technology; building monitoring; building control iii TABLE OF CONTENTS Abstract ............................................................................................................................ -
Scantraffic: Smart Camera Network for Traffic Information Collection
ScanTraffic: Smart Camera Network for Traffic Information Collection Daniele Alessandrelli1, Andrea Azzar`a1, Matteo Petracca2, Christian Nastasi1, and Paolo Pagano2 1 Real-Time Systems Laboratory, Scuola Superiore Sant'Anna, Pisa, Italy fd.alessandrelli, a.azzara, [email protected] 2 National Laboratory of Photonic Networks, CNIT, Pisa, Italy fmatteo.petracca, [email protected] Abstract. Intelligent Transport Systems (ITSs) are gaining growing in- terest from governments and research communities because of the eco- nomic, social and environmental benefits they can provide. An open issue in this domain is the need for pervasive technologies to collect traffic- related data. In this paper we discuss the use of visual Wireless Sensor Networks (WSNs), i.e., networks of tiny smart cameras, to address this problem. We believe that smart cameras have many advantages over classic sensor motes. Nevertheless, we argue that a specific software in- frastructure is needed to fully exploit them. We identify the three main services such software must provide, i.e., monitoring, remote configura- tion, and remote code-update, and we propose a modular architecture for them. We discuss our implementation of such architecture, called ScanTraffic, and we test its effectiveness within an ITS prototype we deployed at the Pisa International Airport. We show how ScanTraffic greatly simplifies the deployment and management of smart cameras col- lecting information about traffic flow and parking lot occupancy. Keywords: intelligent transport systems, visual wireless sensor net- works, smart cameras 1 Introduction Intelligent Transport Systems (ITSs) are nowadays at the focus of public au- thorities and research communities aiming at providing effective solutions for improving citizens lifestyle and safety. -
Wireless Sensor Networks Technology and Simulation Software’S
ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319 5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 5, May 2016 An Overview on Wireless Sensor Networks Technology and Simulation Software’s Vijay S. Kale1, Rohit D. Kulkarni2 Associate Professor, Department of Electronic Science, KTHM College, Nashik, Maharashtra, India1 M. Phil. Student, Department of Electronic Science, KTHM College, Nashik, Maharashtra, India2 Abstract: Advances in wireless networking, micro-fabrication and integration of sensors and actuators manufactured using micro-electromechanical system (MEMS) technology and embedded microprocessors have enabled a new generation of massive-scale sensor networks suitable for a range of commercial and military applications. Sensor networks promise to couple end users directly to sensor measurements and provide information that is precisely localized in time and/or space, according to the user’s needs or demands. Node-level design simulators simulate the behaviour of a sensor network on a per-node basis. Using simulation, designers can quickly study the performance in terms of timing, power, bandwidth, and scalability without implementing them on actual hardware and dealing with the actual physical phenomena. The present communication gives the brief survey of wireless sensor network (WSN), WSN components, details of operating systems (TinyOS, RIOT, Nano-RK, MANTIS etc.) and WSN simulation software’s (NS2, OMNET++, J-Sim, JiST, GloMoSim, SSFNet etc.). The aim is to provide a better understanding of the current research issues in this field and outline the use of certain tools to meet the design objectives which will be useful to learner/researcher to develop WSNs applications. Keywords: Sensor nodes, Architecture, Operating system, Simulation software, Wireless technology. -
Deployment of Tinyos for Online Water Sensing
TELKOMNIKA Indonesian Journal of Electrical Engineering Vol.12, No.6, June 2014, pp. 4802 ~ 4807 DOI: 10.11591/telkomnika.v12i6.5525 4802 Deployment of TinyOS for Online Water Sensing Xin Wang*, Pan Xu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China *Corresponding author, e-mail: [email protected] Abstract Current quality assessment methods of water parameters are mainly laboratory based, require fresh supplies of chemicals, trained staff and are time consuming. Sensor networks are great alternatives for such requirements. We present a practical application of wireless networks: a remote water monitoring system running TinyOS. The contents of several chemicals in the water are sensed and transmitted. The sensor data are collected and transmitted via ZigBee and GPRS. Instead of focusing on theoretic issues such as routing algorithms, network lifetime and so on, we investigate special techniques involved in the implementation of the system while employing TinyOS and its special programming language. Keywords: TinyOS, hierarchical network, embedded operating system, water sensing 1. Introduction TinyOS is an open source, BSD-licensed operating system designed for low-power wireless devices, such as those used in sensor networks, ubiquitous computing, personal area networks, smart buildings, and smart meters. To confront the water pollution, various water monitoring systems based on cellular mobile network have been developed [1, 2]. These systems may assist environmental protection agencies in providing continuous water monitoring with minimum interaction of man interference. But, with such systems, the rare channel resources and hardware are greatly wasted when the monitoring nodes are distributed in higher density.