A Tiny and Efficient Wireless Ad-hoc Protocol for Low-cost Sensor Networks

Gburzynski,; Kaminska,; Olesinski,

doi:10.1109/date.2007.364523

Cited by 15 publications

(13 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An important issue is to find a good mechanism for extending the local and neighborhood spaces onto a global network-wide space. Inspired by TARP's approach to routing [4], we envision a fuzzy meta-routing scheme with rule driven rebroadcasts, which will collectively push the tuples towards the regions (neighborhoods) where they are needed. This calls for programming concepts and constructs that will allow the program to define special rules according to suggested distributed configurations/roles thereby mitigating the inherent unreliability of individual nodes.…”

Section: Discussionmentioning

confidence: 99%

“…PicOS [5] provides a lean multi-tasking mechanism derived from an FSM abstraction, around which elaborate ruledriven routing protocols can be developed [4]. In this section, we discuss the PicOS programming paradigm in comparison to TinyOS.…”

Section: Background and Examplementioning

confidence: 99%

“…In particular, it makes sense to view them as modular rules and provide for some natural mechanism of applying them. For example, the filtering conditions in some routing protocols for WSN [4] have the form of a chain of rules that are applied sequentially to every received packet, stopping as soon as a reason is found not to rebroadcast it. The general principle of such schemes is to utilize cached data as the knowledge base for the rules.…”

Section: Thread Context Aspectsmentioning

confidence: 99%

See 2 more Smart Citations

PicOS tuples

Shimony

Nikolaidis

Gburzyński

et al. 2010

Proceedings of the 7th International Workshop on Model-Based Methodologies for Pervasive and Embedded Software

Self Cite

View full text Add to dashboard Cite

The task of programming sensor-based systems comes with severe constraints on the resources, typically memory, CPU power, and energy. The challenge is usually addressed with techniques that result in poor code understandability and maintainability. In this paper, we report on a data centric language extension based on a tuple-space abstraction, akin to Linda [2], applied to PicOS [5], a programming environment for wireless sensor networks (WSN's). The extension improves state and context management in a multi-tasking environment suffering from severe memory limitations. The solution integrates tuple operations into the model -for networking, event handling, and thread contexts. We demonstrate how tuple constructs improve coding and reduce code overhead. We also show how thread's context-tuples can be used as interface arguments for extension by modular aspect constructs.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Background and Examplementioning

confidence: 99%

Section: Thread Context Aspectsmentioning

confidence: 99%

See 1 more Smart Citation

PicOS tuples

Shimony

Nikolaidis

Gburzyński

et al. 2010

Proceedings of the 7th International Workshop on Model-Based Methodologies for Pervasive and Embedded Software

Self Cite

View full text Add to dashboard Cite

show abstract

“…The set of operations available to plug-ins involve queue manipulations, cloning packets, inserting special packets, and assigning to packets the so-called disposition codes representing various processing stages. Any protocol can be implemented within this paradigm, with TARP (our Tiny Ad hoc Routing Protocol [29,30]) being the most prominent example. The modus operandi of VNETI is that packets are claimed by the protocol plug-ins as well as the physical interface modules (PHY) at the relevant moments of their life in the module's buffer space.…”

Section: System Organizationmentioning

confidence: 99%

Developing wireless sensor network applications in a virtual environment

et al. 2010

View full text Add to dashboard Cite

We describe our "holistic" platform for developing wireless ad hoc sensor networks and focus on its most representative and essential virtualization component: VUE 2 (the Virtual Underlay Emulation Engine). Its role is to provide a vehicle for the authoritative emulation of complete networked applications before physically deploying any wireless nodes. The goal is to be able to verify those applications exhaustively before programming the hardware, such that no further (field) tests are necessary. We explain how VUE 2 achieves this goal owing to several facilitating factors, most notably the powerful programming paradigm that our platform adopts. As implied by the holistic nature of the discussed system, our work touches upon operating systems, simulation, network protocols, real-time systems, and programming methodology.

show abstract

“…The set of operations available to plugins involve queue manipulations, cloning packets, inserting special packets, and assigning to them the so-called disposition codes representing various processing stages. Any protocol can be implemented within this paradigm, with TARP (our Tiny Ad hoc Routing Protocol [20], [21]) being the most prominent example. The modus operandi of VNETI is that packets are claimed by the protocol plug-ins as well as the physical interface modules (PHY) at the relevant moments of their life in the module's buffer space.…”

Section: B System Organizationmentioning

confidence: 99%

Supporting wireless application development via virtual execution

Boers

Gburzyński

Nikolaidis

et al. 2008

2008 International Multiconference on Computer Science and Information Technology

Self Cite

View full text Add to dashboard Cite

We introduce our "holistic" platform for building wireless ad hoc sensor networks and focus on its most representative and essential virtualization component: VUE 2 (the Virtual Underlay Emulation Engine). Its role is to provide a vehicle for authoritative emulation of complete networked applications before physically deploying the wireless nodes. The goal is to be able to verify those applications exhaustively before programming the hardware, such that no further (field) tests are necessary. We explain how VUE 2 achieves this goal owing to several facilitating factors, most notably the powerful programming paradigm adopted in our platform. As implied by the holistic nature of the discussed system, our presentation touches upon operating systems, simulation, network protocols, real-time systems, and programming methodology.

show abstract

A Tiny and Efficient Wireless Ad-hoc Protocol for Low-cost Sensor Networks

Cited by 15 publications

References 7 publications

PicOS tuples

PicOS tuples

Developing wireless sensor network applications in a virtual environment

Supporting wireless application development via virtual execution

Contact Info

Product

Resources

About