TinyOS APIs

Levis, Philip; Gay, David

doi:10.1017/cbo9780511626609.016

Cited by 13 publications

(17 citation statements)

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“…As a consequence, the reduction of the CPU use would lower the energy consumption. As reported in [43], the CPU consumes 4.6 mA when active and 2.4 mA when idle while the radio uses 3.9 mA when receiving. Therefore, the TinyCoAP management of buffers would save CPU cycles and enhance the battery life of nodes.…”

Section: Ram Memory Allocationmentioning

confidence: 82%

TinyCoAP: A Novel Constrained Application Protocol (CoAP) Implementation for Embedding RESTful Web Services in Wireless Sensor Networks Based on TinyOS

Ludovici

Moreno

Calveras

2013

JSAN

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Abstract:In this paper we present the design and implementation of the Constrained Application Protocol (CoAP) for TinyOS, which we refer to as TinyCoAP. CoAP seeks to apply the same application transfer paradigm and basic features of HTTP to constrained networks, while maintaining a simple design and low overhead. The design constraints of Wireless Sensor Networks (WSNs) require special attention in the design process of the CoAP implementation. We argue that better performance and minimal resource consumption can be achieved developing a native library for the operating system embedded in the network. TinyOS already includes in its distribution an implementation of CoAP called CoapBlip. However, this is based on a library not originally designed to meet the requirements of TinyOS. We demonstrate the effectiveness of our approach by a comprehensive performance evaluation. In particular, we test and evaluate TinyCoAP and CoapBlip in a real scenario, as well as solutions based on HTTP. The evaluation is performed in terms of latency, memory occupation, and energy consumption. Furthermore, we evaluate the reliability of each solution by measuring the goodput obtained in a channel affected by Rayleigh fading. We also include a study on the effects that high workloads have on a server.

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Section: Ram Memory Allocationmentioning

confidence: 82%

TinyCoAP: A Novel Constrained Application Protocol (CoAP) Implementation for Embedding RESTful Web Services in Wireless Sensor Networks Based on TinyOS

Ludovici

Moreno

Calveras

2013

JSAN

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“…Simulations were performed on TOSSIM [14], a discrete event simulator for TinyOS [13] sensor networks.…”

Section: Simulation Resultsmentioning

confidence: 99%

Median Predictor based Data Compression Algorithm for Wireless Sensor Network

Maurya¹,

Singh²

2011

IJCA

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Large scale wireless sensor networks (WSNs) have emerged as the latest trend in revolutionizing the paradigm of collecting and processing data in diverse environments. Its advancement is fueled by development of tiny low cost sensor nodes which are capable of sensing, processing and transmitting data. Due to the small size of sensor nodes there are various resource constraints. It is the severe energy constraints and the limited computing resources that present the major challenge in converting the vision of WSNs to reality. In this paper, we propose a simple and efficient data compression algorithm which is lossless and particularly suited to the reduced memory and computational resources of a wireless sensor networks node. The proposed data compression algorithm gives good compression ratio for highly correlated data. Simulations for the proposed data compression algorithm are performed on TOSSIM.

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“…In TinyOS, it is quite important to introduce the different ways to use events and commands (see [15], Section 4.5). Two kind of events and commands are available in TinyOS:…”

Section: Event and Commands Typesmentioning

confidence: 99%

On the implementation of distributed asynchronous non-linear kernel methods over wireless sensor networks

Garrido-Castellano

Murillo-Fuentes

2015

J Wireless Com Network

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In this paper, we face the implementation of a non-linear kernel method for regression on a wireless sensor network (WSN) based on MICAz motes. The operating system used is TinyOS 2.1.1. The algorithm estimates the value of some magnitude from the measurements of the motes in a distributed approach where information and computations are performed asynchronously. This proposal includes a research on the potential problems encountered along with the developed solutions. Namely, matrix and floating computations, acknowledgement mechanisms and data loss.

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TinyOS APIs

Cited by 13 publications

References 0 publications

TinyCoAP: A Novel Constrained Application Protocol (CoAP) Implementation for Embedding RESTful Web Services in Wireless Sensor Networks Based on TinyOS

TinyCoAP: A Novel Constrained Application Protocol (CoAP) Implementation for Embedding RESTful Web Services in Wireless Sensor Networks Based on TinyOS

Median Predictor based Data Compression Algorithm for Wireless Sensor Network

On the implementation of distributed asynchronous non-linear kernel methods over wireless sensor networks

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