The Liteos Operating System: Towards Unix-Like Abstractions for Wireless Sensor Networks
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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. -
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. -
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. -
Tutorials Point, Simply Easy Learning
Tutorials Point, Simply Easy Learning UML Tutorial Tutorialspoint.com UNIX is a computer Operating System which is capable of handling activities from multiple users at the same time. Unix was originated around in 1969 at AT&T Bell Labs by Ken Thompson and Dennis Ritchie. This tutorial gives an initial push to start you with UNIX. For more detail kindly check tutorialspoint.com/unix What is Unix ? The UNIX operating system is a set of programs that act as a link between the computer and the user. The computer programs that allocate the system resources and coordinate all the details of the computer's internals is called the operating system or kernel. Users communicate with the kernel through a program known as the shell. The shell is a command line interpreter; it translates commands entered by the user and converts them into a language that is understood by the kernel. Unix was originally developed in 1969 by a group of AT&T employees at Bell Labs, including Ken Thompson, Dennis Ritchie, Douglas McIlroy, and Joe Ossanna. There are various Unix variants available in the market. Solaris Unix, AIX, UP Unix and BSD are few examples. Linux is also a flavour of Unix which is freely available. Several people can use a UNIX computer at the same time; hence UNIX is called a multiuser system. A user can also run multiple programs at the same time; hence UNIX is called multitasking. Unix Architecture: Here is a basic block diagram of a UNIX system: 1 | P a g e Tutorials Point, Simply Easy Learning The main concept that unites all versions of UNIX is the following four basics: Kernel: The kernel is the heart of the operating system. -
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. -
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. -
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. -
Practical Session 1, System Calls a Few Administrative Notes…
Operating Systems, 142 Tas: Vadim Levit , Dan Brownstein, Ehud Barnea, Matan Drory and Yerry Sofer Practical Session 1, System Calls A few administrative notes… • Course homepage: http://www.cs.bgu.ac.il/~os142/ • Contact staff through the dedicated email: [email protected] (format the subject of your email according to the instructions listed in the course homepage) • Assignments: Extending xv6 (a pedagogical OS) Submission in pairs. Frontal checking: 1. Assume the grader may ask anything. 2. Must register to exactly one checking session. System Calls • A System Call is an interface between a user application and a service provided by the operating system (or kernel). • These can be roughly grouped into five major categories: 1. Process control (e.g. create/terminate process) 2. File Management (e.g. read, write) 3. Device Management (e.g. logically attach a device) 4. Information Maintenance (e.g. set time or date) 5. Communications (e.g. send messages) System Calls - motivation • A process is not supposed to access the kernel. It can’t access the kernel memory or functions. • This is strictly enforced (‘protected mode’) for good reasons: • Can jeopardize other processes running. • Cause physical damage to devices. • Alter system behavior. • The system call mechanism provides a safe mechanism to request specific kernel operations. System Calls - interface • Calls are usually made with C/C++ library functions: User Application C - Library Kernel System Call getpid() Load arguments, eax _NR_getpid, kernel mode (int 80) Call sys_getpid() Sys_Call_table[eax] syscall_exit return resume_userspace return User-Space Kernel-Space Remark: Invoking int 0x80 is common although newer techniques for “faster” control transfer are provided by both AMD’s and Intel’s architecture. -
A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks
A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks Kosmas Kritsis, Georgios Papadopoulos, Antoine Gallais, Periklis Chatzimisios, Fabrice Theoleyre To cite this version: Kosmas Kritsis, Georgios Papadopoulos, Antoine Gallais, Periklis Chatzimisios, Fabrice Theoleyre. A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks. Communications Surveys and Tutorials, IEEE Communications Society, Institute of Electrical and Electronics Engineers, 2018, 20 (3), pp.1799 - 1825. 10.1109/COMST.2018.2820810. hal-01886690 HAL Id: hal-01886690 https://hal.archives-ouvertes.fr/hal-01886690 Submitted on 23 Apr 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks Kosmas Kritsis, Georgios Z. Papadopoulos, Member, IEEE, Antoine Gallais, Periklis Chatzimisios, Senior Member, IEEE, and Fabrice Theoleyre,´ Senior Member, IEEE, Abstract—Envisioned communication densities in Internet of may be used for counting the number of vehicles, such to Things (IoT) applications are increasing continuously. Because control optimally the street traffic lights and to reduce the these wireless devices are often battery powered, we need waiting time [3]. specific energy efficient (low-power) solutions. -
Unit V Algorithm for Booting the UNIX System
Unit V Algorithm for booting the UNIX system : As we’ve noted, the boot process begins when the instructions stored in the computer’s permanent, nonvolatile memory (referred to colloquially as the BIOS, ROM,NVRAM, and so on) are executed. This storage location for the initial boot instructions is generically referred to as firmware (in contrast to “software,” but reflecting the fact that the instructions constitute a program[2]). These instructions are executed automatically when the power is turned on or the system is reset, although the exact sequence of events may vary according to the values of stored parameters.[3] The firmware instructions may also begin executing in response to a command entered on the system console (as we’ll see in a bit). However they are initiated, these instructions are used to locate and start up the system’s boot program , which in turn starts the Unix operating system. The boot program is stored in a standard location on a bootable device. For a normal boot from disk, for example, the boot program might be located in block 0 of the root disk or, less commonly, in a special partition on the root disk. In the same way, the boot program may be the second file on a bootable tape or in a designated location on a remote file server in the case of a network boot of a diskless workstation. There is usually more than one bootable device on a system. The firmware program may include logic for selecting the device to boot from, often in the form of a list of potential devices to examine. -
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].