Adding preemption to TinyOS

Duffy, Cormac; Roedig, Utz; Herbert, John J.; Sreenan, Cormac J.

doi:10.1145/1278972.1278995

Cited by 26 publications

(12 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This prevents communication and disables a mote's ability to report events and participate in the network. We use PLScheduler [9], a TinyOS 2.x extension for task pre-emption to counter this problem. The elliptic curve calculation is performed in a "low" task, which is automatically pre-empted by other tasks.…”

Section: Methodsmentioning

confidence: 99%

DHB-KEY: An efficient key distribution scheme for wireless sensor networks

Chung

Roedig

2008

2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems

Self Cite

View full text Add to dashboard Cite

Abstract-Real-world deployments of wireless sensor networks require secure communication. In many application cases it is sufficient to provide message authentication at the sink. To implement this requirement using symmetric ciphers, keys shared between each sensor node and the sink have to be established and kept fresh during network operation. This paper presents a key distribution scheme based on the well known Elliptic Curve Diffie-Hellman key exchange mechanism that allows us to fulfil the previously outlined requirements efficiently. The DHB-KEY scheme requires only the distribution of a single sink-initiated broadcast message to set individual keys on all sensor nodes. Thus, DHB-KEY has a low complexity and preserves scarce resources such as bandwidth and energy. In the paper we present a protocol specification based on the DHB-KEY scheme and its implementation for the well known TinyOS platform. A physical intrusion detection system in an office building is used to evaluate the protocol implementation. The evaluation shows that DHB-KEY is practical in real-world deployments.

show abstract

Section: Methodsmentioning

confidence: 99%

DHB-KEY: An efficient key distribution scheme for wireless sensor networks

Chung

Roedig

2008

2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Task preemption required to meet temporal requirements is not provided, but has been enabled with low memory overhead by Duffy et Al. [12]. A second event-driven embedded operating system is Contiki [13].…”

Section: Related Workmentioning

confidence: 99%

A Framework for Time-Controlled and Portable WSN Applications

Schoofs

Aoun

Stok

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Abstract. Body sensor network applications require a large amount of data to be communicated over radio frequency. The radio transceiver is typically the largest source of power dissipation; improvements on energy consumption can thus be achieved by enabling on-node processing to reduce the number of packets to be transmitted. On-node processing is facilitated by a timely control over process execution to sequence operations on data; yet, the latter must be enabled while keeping highlevel software abstracted from both underlying software and hardware intricacies to accommodate portability to the wide range of hardware and software platforms. We investigated the challenges of implementing software services for on-node processing and devised constructs and system abstractions that integrate applications, drivers, time synchronization and MAC functionality into a system software which presents limited dependency between components and enables timely control of processes. We support our claims with a performance evaluation of the software tools implemented within the FreeRTOS micro-kernel.

show abstract

“…Preemptive pliOlity scheduling is supported in [4] [5] and [6]. In [4], task priority level is determined by nearest deadline for hard real-time tasks or shortest execution time for soft real-time tasks.…”

Section: Introductionmentioning

confidence: 99%

“…In [5], static and dynamic two-tier priorities are designed to the TinyOS default task queue. In [6], the scheduler can provide five different priority levels, the redundant interfaces for task priorities are removed at compile time. In [7], a novel integrated and adaptive scheduling mechanism is implemented.…”

Section: Introductionmentioning

confidence: 99%

A TinyOS scheduling strategy and its implementation

Tao

Zhao

Hui

2011

2011 IEEE 3rd International Conference on Communication Software and Networks

View full text Add to dashboard Cite

TinyOS is a key element of the software infrastructure for the research and development involved in realizing wireless sensor networks (WSNs). In this paper, a priority-based scheduling strategy is proposed and implemented. Furthermore, the proposed approach and the original mechanism are tested and compared in the laboratory environment. Test result indicates that the modified strategy greatly improved the system performance for real-time tasks.

show abstract

Adding preemption to TinyOS

Cited by 26 publications

References 8 publications

DHB-KEY: An efficient key distribution scheme for wireless sensor networks

DHB-KEY: An efficient key distribution scheme for wireless sensor networks

A Framework for Time-Controlled and Portable WSN Applications

A TinyOS scheduling strategy and its implementation

Contact Info

Product

Resources

About