A Comparative Study Between Operating Systems (Os) for the Internet of Things (Iot)
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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. -
Comparison of Contemporary Real Time Operating Systems
ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319 5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 11, November 2015 Comparison of Contemporary Real Time Operating Systems Mr. Sagar Jape1, Mr. Mihir Kulkarni2, Prof.Dipti Pawade3 Student, Bachelors of Engineering, Department of Information Technology, K J Somaiya College of Engineering, Mumbai1,2 Assistant Professor, Department of Information Technology, K J Somaiya College of Engineering, Mumbai3 Abstract: With the advancement in embedded area, importance of real time operating system (RTOS) has been increased to greater extent. Now days for every embedded application low latency, efficient memory utilization and effective scheduling techniques are the basic requirements. Thus in this paper we have attempted to compare some of the real time operating systems. The systems (viz. VxWorks, QNX, Ecos, RTLinux, Windows CE and FreeRTOS) have been selected according to the highest user base criterion. We enlist the peculiar features of the systems with respect to the parameters like scheduling policies, licensing, memory management techniques, etc. and further, compare the selected systems over these parameters. Our effort to formulate the often confused, complex and contradictory pieces of information on contemporary RTOSs into simple, analytical organized structure will provide decisive insights to the reader on the selection process of an RTOS as per his requirements. Keywords:RTOS, VxWorks, QNX, eCOS, RTLinux,Windows CE, FreeRTOS I. INTRODUCTION An operating system (OS) is a set of software that handles designed known as Real Time Operating System (RTOS). computer hardware. Basically it acts as an interface The motive behind RTOS development is to process data between user program and computer hardware. -
AMNESIA 33: How TCP/IP Stacks Breed Critical Vulnerabilities in Iot
AMNESIA:33 | RESEARCH REPORT How TCP/IP Stacks Breed Critical Vulnerabilities in IoT, OT and IT Devices Published by Forescout Research Labs Written by Daniel dos Santos, Stanislav Dashevskyi, Jos Wetzels and Amine Amri RESEARCH REPORT | AMNESIA:33 Contents 1. Executive summary 4 2. About Project Memoria 5 3. AMNESIA:33 – a security analysis of open source TCP/IP stacks 7 3.1. Why focus on open source TCP/IP stacks? 7 3.2. Which open source stacks, exactly? 7 3.3. 33 new findings 9 4. A comparison with similar studies 14 4.1. Which components are typically flawed? 16 4.2. What are the most common vulnerability types? 17 4.3. Common anti-patterns 22 4.4. What about exploitability? 29 4.5. What is the actual danger? 32 5. Estimating the reach of AMNESIA:33 34 5.1. Where you can see AMNESIA:33 – the modern supply chain 34 5.2. The challenge – identifying and patching affected devices 36 5.3. Facing the challenge – estimating numbers 37 5.3.1. How many vendors 39 5.3.2. What device types 39 5.3.3. How many device units 40 6. An attack scenario 41 6.1. Other possible attack scenarios 44 7. Effective IoT risk mitigation 45 8. Conclusion 46 FORESCOUT RESEARCH LABS RESEARCH REPORT | AMNESIA:33 A note on vulnerability disclosure We would like to thank the CERT Coordination Center, the ICS-CERT, the German Federal Office for Information Security (BSI) and the JPCERT Coordination Center for their help in coordinating the disclosure of the AMNESIA:33 vulnerabilities. -
Key Infection: Smart Trust for Smart Dust
Key Infection: Smart Trust for Smart Dust Ross Anderson Haowen Chan Adrian Perrig University of Cambridge Carnegie Mellon University Carnegie Mellon University [email protected] [email protected] [email protected] Abstract and building safety. As sensor networks become cheaper and more commoditised, they will become attractive to Future distributed systems may include large self- home users and small businesses, and for other new appli- organizing networks of locally communicating sen- cations. sor nodes, any small number of which may be sub- A typical sensor network consists of a large number of verted by an adversary. Providing security for these small, low-cost nodes that use wireless peer-to-peer com- sensor networks is important, but the problem is compli- munication to form a self-organized network. They use cated by the fact that managing cryptographic key ma- multi-hop routing algorithms based on dynamic network terial is hard: low-cost nodes are neither tamper-proof and resource discovery protocols. To keep costs down and nor capable of performing public key cryptography effi- to deal with limited battery energy, nodes have fairly min- ciently. imal computation, communication, and storage resources. In this paper, we show how the key distribution problem They do not have tamper-proof hardware. We can thus ex- can be dealt with in environments with a partially present, pect that some small fraction of nodes in a network may be passive adversary: a node wishing to communicate securely compromised by an adversary over time. with other nodes simply generates a symmetric key and An interesting example of a sensor network technology sends it in the clear to its neighbours. -
Tinyos Meets Wireless Mesh Networks
TinyOS Meets Wireless Mesh Networks Muhammad Hamad Alizai, Bernhard Kirchen, Jo´ Agila´ Bitsch Link, Hanno Wirtz, Klaus Wehrle Communication and Distributed Systems, RWTH Aachen University, Germany [email protected] Abstract 2 TinyWifi We present TinyWifi, a nesC code base extending TinyOS The goal of TinyWifi is to enable direct execution of to support Linux powered network nodes. It enables devel- TinyOS applications and protocols on Linux driven network opers to build arbitrary TinyOS applications and protocols nodes with no additional effort. To achieve this, the Tiny- and execute them directly on Linux by compiling for the Wifi platform extends the existing TinyOS core to provide new TinyWifi platform. Using TinyWifi as a TinyOS plat- the exact same hardware independent functionality as any form, we expand the applicability and means of evaluation of other platform (see Figure 1). At the same time, it exploits wireless protocols originally designed for sensornets towards the customary advantages of typical Linux driven network inherently similar Linux driven ad hoc and mesh networks. devices such as large memory, more processing power and higher communication bandwidth. In the following we de- 1 Motivation scribe the architecture of each component of our TinyWifi Implementation. Although different in their applications and resource con- straints, sensornets and Wi-Fi based multihop networks share 2.1 Timers inherent similarities: (1) They operate on the same frequency The TinyOS timing functionality is based on the hardware band, (2) experience highly dynamic and bursty links due to timers present in current microcontrollers. A sensor-node radio interferences and other physical influences resulting in platform provides multiple realtime hardware timers to spe- unreliable routing paths, (3) each node can only communi- cific TinyOS components at the HAL layer - such as alarms, cate with nodes within its radio range forming a mesh topol- counters, and virtualization. -
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. -
1921 Tulsa Race Riot Reconnaissance Survey
1921 Tulsa Race Riot Reconnaissance Survey Final November 2005 National Park Service U.S. Department of the Interior CONTENTS INTRODUCTION 1 Summary Statement 1 Bac.ground and Purpose 1 HISTORIC CONTEXT 5 National Persp4l<live 5 1'k"Y v. f~u,on' World War I: 1896-1917 5 World W~r I and Postw~r ( r.: 1!1t7' EarIV 1920,; 8 Tulsa RaCR Riot 14 IIa<kground 14 TI\oe R~~ Riot 18 AIt. rmath 29 Socilot Political, lind Economic Impa<tsJRamlt;catlon, 32 INVENTORY 39 Survey Arf!a 39 Historic Greenwood Area 39 Anla Oubi" of HiOlorK G_nwood 40 The Tulsa Race Riot Maps 43 Slirvey Area Historic Resources 43 HI STORIC GREENWOOD AREA RESOURCeS 7J EVALUATION Of NATIONAL SIGNIFICANCE 91 Criteria for National Significance 91 Nalional Signifiunce EV;1lu;1tio.n 92 NMiol\ill Sionlflcao<e An.aIYS;s 92 Inl~ri ly E~alualion AnalY'is 95 {"",Iu,ion 98 Potenl l~1 M~na~menl Strategies for Resource Prote<tion 99 PREPARERS AND CONSULTANTS 103 BIBUOGRAPHY 105 APPENDIX A, Inventory of Elltant Cultural Resoun:es Associated with 1921 Tulsa Race Riot That Are Located Outside of Historic Greenwood Area 109 Maps 49 The African American S«tion. 1921 51 TI\oe Seed. of c..taotrophe 53 T.... Riot Erupt! SS ~I,.,t Blood 57 NiOhl Fiohlino 59 rM Inva.ion 01 iliad. TIll ... 61 TM fighl for Standp''''' Hill 63 W.II of fire 65 Arri~.. , of the Statl! Troop< 6 7 Fil'lal FiOlrtino ~nd M~,,;~I I.IIw 69 jii INTRODUCTION Summary Statement n~sed in its history. -
Performance Study of Real-Time Operating Systems for Internet Of
IET Software Research Article ISSN 1751-8806 Performance study of real-time operating Received on 11th April 2017 Revised 13th December 2017 systems for internet of things devices Accepted on 13th January 2018 E-First on 16th February 2018 doi: 10.1049/iet-sen.2017.0048 www.ietdl.org Rafael Raymundo Belleza1 , Edison Pignaton de Freitas1 1Institute of Informatics, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, CP 15064, Porto Alegre CEP: 91501-970, Brazil E-mail: [email protected] Abstract: The development of constrained devices for the internet of things (IoT) presents lots of challenges to software developers who build applications on top of these devices. Many applications in this domain have severe non-functional requirements related to timing properties, which are important concerns that have to be handled. By using real-time operating systems (RTOSs), developers have greater productivity, as they provide native support for real-time properties handling. Some of the key points in the software development for IoT in these constrained devices, like task synchronisation and network communications, are already solved by this provided real-time support. However, different RTOSs offer different degrees of support to the different demanded real-time properties. Observing this aspect, this study presents a set of benchmark tests on the selected open source and proprietary RTOSs focused on the IoT. The benchmark results show that there is no clear winner, as each RTOS performs well at least on some criteria, but general conclusions can be drawn on the suitability of each of them according to their performance evaluation in the obtained results. -
Operating in a New Environment
EMBEDDED DESIGN OPERATING SYSTEMS lthough the concept of the IoT was Ioated around the turn of the Millennium, it is A only recently that the approach has gathered significant momentum. But, because it is a blanket term, IoT is not only being applied to large and small applications alike, it is also being applied in a wide range of end markets. With such a spread, it will come as no surprise to discover that one size does not fit all when it comes to operating systems. At the high end of the market, companies like Intel are vying to provide a complete solution. Alongside its processor technology, Intel can integrate Wind River’s VxWorks operating system and McAfee security software to create a system capable of handling high levels of complexity. But those developing wearable devices, for example, may not want to take advantage of such a system; they may well be looking for an OS that runs in a very small footprint but, nonetheless, offers a range of Operating in a new necessary features while consuming minimal amounts of power. ARM has had its eyes on the sector for some time and, last year, rolled out environment a significant extension to its mbed programme. Previously, mbed was an embedded development community The Internet of Things is posing challenges to OS developers. with ambitions similar to those of Arduino and Raspberry Pi. But mbed How are they responding? By Graham Pitcher. now has a much bigger vision – the IoT. As part of this approach, it is creating mbed OS (see fig 1). -
Low Power Or High Performance? a Tradeoff Whose Time
Low Power or High Performance? ATradeoffWhoseTimeHasCome(andNearlyGone) JeongGil Ko1,KevinKlues2,ChristianRichter3,WanjaHofer4, Branislav Kusy3,MichaelBruenig3,ThomasSchmid5,QiangWang6, Prabal Dutta7,andAndreasTerzis1 1 Department of Computer Science, Johns Hopkins University 2 Computer Science Division, University of California, Berkeley 3 Australian Commonwealth Scientific and Research Organization (CSIRO) 4 Department of Computer Science, Friedrich–Alexander University Erlangen–Nuremberg 5 Department Computer Science, University of Utah 6 Department of Control Science and Engineering, Harbin Institute of Technology 7 Division of Computer Science and Engineering, University of Michigan, Ann Arbor Abstract. Some have argued that the dichotomy between high-performance op- eration and low resource utilization is false – an artifact that will soon succumb to Moore’s Law and careful engineering. If such claims prove to be true, then the traditional 8/16- vs. 32-bit power-performance tradeoffs become irrelevant, at least for some low-power embedded systems. We explore the veracity of this the- sis using the 32-bit ARM Cortex-M3 microprocessor and find quite substantial progress but not deliverance. The Cortex-M3, compared to 8/16-bit microcon- trollers, reduces latency and energy consumption for computationally intensive tasks as well as achieves near parity on code density. However, it still incurs a 2 overhead in power draw for “traditional” sense-store-send-sleep applica- tions.∼ × These results suggest that while 32-bit processors are not yet ready for applications with very tight power requirements, they are poised for adoption ev- erywhere else. Moore’s Law may yet prevail. 1Introduction The desire to operate unattended for long periods of time has been a driving force in de- signing wireless sensor networks (WSNs) over the past decade. -
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].