Paper Info
Title
Sdream: A Super-Small Distributed Real-Time Microkernel Dedicated To Wireless Sensors
Abstract
Traditional embedded operation systems are resource consuming multitask, thus they are not adapted for smart wireless sensors. This paper presents a super-small distributed real-time microkernel (SDREAM) dedicated to wireless sensors. SDREAM is a tuple-based message-driven real-time kernel. It adopts a meta language: Kernel Modeling Language to define and describe the system primitives in abstract manner. The IPC and processes synchronization are based on the LINDA concept: the tuple model implemented by two light primitives (SND: OUT & RCV: IN). In SDREAM, tasks are classified into two categories: periodic and priority. The periodic task has the highest priority level and is responsible for capturing sensor signals or actuating control signals; the priority task has various priority levels and is suitable for time-constraints applications. A two-level task scheduling policy scheme, named priority-based pre-emptive scheduling, is used for task scheduling. SDREAM is simple and efficient. It has a flexible hardware abstraction capability that enables it to be rapidly ported into different WSN platforms and other tiny embedded devices. Currently, it has been ported and evaluated in several hardware platforms. The performance results show SDREAM requires tiny resource and is suitable and efficient for hard real-time multitask WSN applications.
Year
DOI
Venue
2006
10.1108/17427370780000169
INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS
Keywords
Field
DocType
Kernel modeling language, LINDA, wireless sensor networks, embedded real-time microkernel, TinyOS
Synchronization,Scheduling (computing),Tuple,Computer science,Modeling language,Computer network,Microkernel,Hardware abstraction,Porting,Wireless sensor network,Embedded system,Distributed computing
Journal
Volume
Issue
ISSN
2
4
1742-7371
Citations 
PageRank 
References 
5
0.82
3
Authors
3
Name
Order
Citations
PageRank
Haiying Zhou18713.25
Kun Mean Hou24515.51
Christophe De Vaulx3116.90