NDLI: Splitting the sensor node

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Firefly-inspired sensor network synchronicity with realistic radio effects

MAX: human-centric search of the physical world

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VMSTAR: synthesizing scalable runtime environments for sensor networks

Splitting the sensor node

Claytronics: highly scalable communications, sensing, and actuation networks

A new approach for establishing pairwise keys for securing wireless sensor networks

Packet combining in sensor networks

CenWits: a sensor-based loosely coupled search and rescue system using witnesses

Sympathy for the sensor network debugger

Bayesian localization in wireless networks using angle of arrival

Online camera calibration and node localization in sensor networks

TSAR: a two tier sensor storage architecture using interval skip graphs

Siphon: overload traffic management using multi-radio virtual sinks in sensor networks

Cyclops: in situ image sensing and interpretation in wireless sensor networks

CONCERT: aggregation-based CONgestion Control for sEnsoR neTworks

D.A.S.: deployment analysis system

Robot couriers: precise mobility in a wireless network testbed

Viptos: a graphical development and simulation environment for TinyOS-based wireless sensor networks

Secure dissemination of code updates in sensor networks

Agile cargo tracking using mobile agents

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Field server: multi-functional wireless sensor network node for earth observation

Accuracy-aware data modeling in sensor networks

A hybrid sensor network for cane-toad monitoring

Stop the clock!: new directions for embedded controllers in wireless sensor networks

Emulab's wireless sensor net testbed: true mobility, location precision, and remote access

Impact of intentional mobility in sparse sensor networks

Coordinating camera motion for sensing uncertainty reduction

A new scheme on link quality prediction and its applications to metric-based routing

Reprogramming sensor networks safely, quickly, and efficiently

Automatic programming with semantic streams

Heliomote: enabling long-lived sensor networks through solar energy harvesting

Exploiting multi-Channel diversity to speed up over-the-air programming of wireless sensor networks

Network of cyclops; image inference and interpretation in sensor network

A dynamic en-route scheme for filtering false data injection in wireless sensor networks

A human-based sensor network connecting mobile phones

Distance enlargement and reduction attacks on ultrasound ranging

A spreadsheet toolkit for streaming sensor data

Sensor networks for medical care

Everlast: long-life, supercapacitor-operated wireless sensor node

Sensor fusion and correlation

Full-system simulation for sensor networks

Localization system for outdoor wireless sensor networks

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SQualNet: a scalable simulation framework for sensor networks

Localization and mapping with mobile sensor networks

Splitting the sensor node

Content Provider	ACM Digital Library
Author	Banerjee, A. Najjar, W. Mitra, A.
Abstract	The current trend of computationally intensive applications such as audio capture, FFT, image sensing, motion detection, feature extraction and cepstrum calculations being ported to the sensor domain, alludes towards the need to handle copious amounts of data in comparison to rudimentary temperature and humidity sensing applications. Developing a split architecture based sensor platform is an effective and efficient methodology to reach the crucial goal of in-situ processing of data. Resulting in a direct reduction in the amount of information needed to be transmitted over the wireless links. The Split-Node-Architecture (SNA) which we develop addresses this very crucial aspect of sensor network design. The suitability of employing the SNA architecture is demonstrated by its performance metrics obtained by running a 128point FFT benchmark. The higher throughput, of the SNA architecture enables faster data processing upto 24 times that of the Atmel AVR architecture (MICA). Additionally a 29% improvement in power efficiency vis a vis popular sensor platforms, tilts the scales unambiguously in favor of the SNA. The low power consumption of the Co-S module, a part of SNA, results in savings upto 6uJ per 128 point FFT operation when compared to the Stargate (Intel PXA 255).
Starting Page	270
Ending Page	271
Page Count	2
File Format	PDF
ISBN	159593054X
DOI	10.1145/1098918.1098949
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	High capacity storage Sensors Performance Split-architecture
Content Type	Text
Resource Type	Article

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