A Nano Operating System for Wireless Sensor Networks

We present TinyOS, a flexible, application-specific operating system for sensor networks, which form a core component of ambient intelligence systems. Sensor networks consist of (potentially) thousands of tiny, low-power nodes, each of which execute concurrent, reactive programs that must operate with severe memory and power constraints. The sensor network challenges of limited resources, event-centric concurrent applications, and low-power operation drive the design of TinyOS. Our solution combines flexible, fine-grain components with an execution model that supports complex yet safe concurrent operations. TinyOS meets these challenges well and has become the platform of choice for sensor network research; it is in use by over a hundred groups worldwide, and supports a broad range of applications and research topics. We provide a qualitative and quantitative evaluation of the system, showing that it supports complex, concurrent programs with very low memory requirements (many applications fit within 16KB of memory, and the core OS is 400 bytes) and efficient, low-power operation. We present our experiences with TinyOS as a platform for sensor network innovation and applications.

Wireless sensor networks (WSN) consist of a number of low-power spatially distributed autonomous nodes equipped with means of communication. Developing software for WSN is challenging; operating system (OS) support is required. In this paper we present MansOS, a portable and easy-to-use WSN operating system that has a smooth learn-ing curve for users with C and UNIX programming experience. The OS features a configuration model that allows to reduce application binary code size and build time. In contrast to other WSN OS, MansOS by default provides both event-based and threaded user application support, including a complete although lightweight implementation of preemptive threads.

2007

2.1. Current state of the art in the research area of Wireless Sensor Network Programming 11 2.2. Brief Overview 12 2.3. Review in detail 13 3. Future Work 30 This section lists the open problems in the wireless sensor network programming area.

2012

Wireless Sensor Networks (WSNs) consist of a large number of sensor nodes, and are used for various applications such as building monitoring, environment control, wild-life habitat monitoring, forest fire detection, industry automation, military, security, and health-care. Each sensor node needs an operating system (OS) that can control the hardware, provide hardware abstraction to application software, and fill in the gap between applications and the underlying hardware. In this paper, researchers present OS for WSNs and an experiment of porting contikiOS to MSP430 microcontroller which is very popular in many hardware platforms for WSNs. Researchers begin by presenting the major issues for the design of OS for WSNs. Then, researchers examine some popular operating systems for WSNs including TinyOS, ContikiOS, and LiteOS. Finally, researchers present an experiment of porting ContikiOS to MSP430 microcontroller. Wireless Sensor Networks (WSNs) terdiri dari sejumlah besar sensor node...

2011

Wireless Sensor Networks (WSNs) have been the subject of intensive research over the last years. WSNs consist of a large number of sensor nodes, and are used for various applications such as building monitoring, environment control, wild-life habitat monitoring, forest fire detection, industry automation, military, security, and healthcare. Operating system (OS) support for WSNs plays a central role in building

International Journal of Computer Science Issues, 2013

The design of operating system for Wireless Sensor Network (WSN) deviates from traditional operating system design due to significant and specific characteristics like constrained resources, high dynamics and inaccessible deployment. The purpose of this work is to classify existing operating systems according to the important Operating System (OS) features and to propose the suitable OSs for different categories of WSN applications. Architecture, execution model, scheduling, routing protocols, hardware support, and application support are the important OS features that are chosen to classify the existing WSN operating systems. This classification helps in understanding the contrasting differences between the existing operating systems and lays the foundation for designing an ideal operating system. To help the application developer in choosing the right OS, based on the application requirement, hardware type, also WSN applications have been classified. This classification gives insight in choosing the best suitable operating systems that fits for different categories of applications.

2004

Wireless sensor networks are composed of large numbers of tiny networked devices that communicate untethered. In this paper we present the design of Contiki, a lightweight and portable operating system for such tiny devices. In this work, we try to find the right operating system abstractions that enable dynamic and efficient operation of a system with severe limitations. Contiki is built around a lightweight event scheduler and provides suitable abstractions for dynamic loading of programs, device drivers, and run-time linking of libraries. The system is highly portable and the kernel can be ported without changing a single line of code (except device drivers). We show how higher level abstractions such as multithreading can be implemented as libraries on top of the lightweight event kernel.

Sensors (Basel, Switzerland), 2014

Operating system (OS) technology is significant for the proliferation of the wireless sensor network (WSN). With an outstanding OS; the constrained WSN resources (processor; memory and energy) can be utilized efficiently. Moreover; the user application development can be served soundly. In this article; a new hybrid; real-time; memory-efficient; energy-efficient; user-friendly and fault-tolerant WSN OS MIROS is designed and implemented. MIROS implements the hybrid scheduler and the dynamic memory allocator. Real-time scheduling can thus be achieved with low memory consumption. In addition; it implements a mid-layer software EMIDE (Efficient Mid-layer Software for User-Friendly Application Development Environment) to decouple the WSN application from the low-level system. The application programming process can consequently be simplified and the application reprogramming performance improved. Moreover; it combines both the software and the multi-core hardware techniques to conserve t...

… , Technical Report TKN- …, 2005

2008 32nd Annual IEEE International Computer Software and Applications Conference, 2008

We present in this paper an approach allowing dynamic reconfiguration in wireless sensor networks. This proposition is based on two complementary works. Firstly we propose a new component-based operating system (OS) for wireless sensors networks, allowing dynamic administration of components at runtime. This OS will be generated from an OS generator called Think. Secondly, we discuss and present Valentine, a specific mechanism for dynamic reconfiguration in the constrained context of wireless sensor networks.