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Low-power wireless sensor networks f...

Musaloiu-Elefteri, Razvan.

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Low-power wireless sensor networks for environmental monitoring.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Low-power wireless sensor networks for environmental monitoring./
Author:	Musaloiu-Elefteri, Razvan.
Description:	93 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-05, Section: B, page: 3149.
Contained By:	Dissertation Abstracts International71-05B.
Subject:	Remote Sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3407664
ISBN:	9781109775754

Low-power wireless sensor networks for environmental monitoring.
Musaloiu-Elefteri, Razvan.

Low-power wireless sensor networks for environmental monitoring. - 93 p.

Source: Dissertation Abstracts International, Volume: 71-05, Section: B, page: 3149.

Thesis (Ph.D.)--The Johns Hopkins University, 2010.

Significant progress has been made in the field of Wireless Sensor Networks in the decade that passed since its inception. This thesis presents several advances intended to make these networks a suitable instrument for environmental monitoring. The thesis first describes Koala, a low-power data-retrieval system that can achieve duty cycles below 1% by using bulk transfers, and Low Power Probing, a novel mechanism to efficiently wake up a network. The second contribution is Serendipity, another data-retrieval system, which takes advantage of the random rendezvous inherent in the Low Power Probing mechanism to achieve a very low duty cycle for low data rate networks. The third part explores the problem of and presents a solution for the interference between WSNs using IEEE 802.15.4 radios and the ubiquitous WiFi networks in the 2.4 GHz spectrum bandwidth. The last contribution of this thesis is Latte, a restricted version of the JavaScript language, that not only can be compiled to C and dynamically loaded on a sensing node, but can also be simulated and debugged in a JavaScript-enabled browser.

ISBN: 9781109775754Subjects--Topical Terms:

1018559
Remote Sensing.

Low-power wireless sensor networks for environmental monitoring.
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500 $a Adviser: Andreas Terzis.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2010.
520 $a Significant progress has been made in the field of Wireless Sensor Networks in the decade that passed since its inception. This thesis presents several advances intended to make these networks a suitable instrument for environmental monitoring. The thesis first describes Koala, a low-power data-retrieval system that can achieve duty cycles below 1% by using bulk transfers, and Low Power Probing, a novel mechanism to efficiently wake up a network. The second contribution is Serendipity, another data-retrieval system, which takes advantage of the random rendezvous inherent in the Low Power Probing mechanism to achieve a very low duty cycle for low data rate networks. The third part explores the problem of and presents a solution for the interference between WSNs using IEEE 802.15.4 radios and the ubiquitous WiFi networks in the 2.4 GHz spectrum bandwidth. The last contribution of this thesis is Latte, a restricted version of the JavaScript language, that not only can be compiled to C and dynamically loaded on a sensing node, but can also be simulated and debugged in a JavaScript-enabled browser.
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