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Adaptive Multiple Access Communicati...

Salmani, Vahid.

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Adaptive Multiple Access Communication for High Data Rate Wireless Sensing Applications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Adaptive Multiple Access Communication for High Data Rate Wireless Sensing Applications./
Author:	Salmani, Vahid.
Description:	106 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Contained By:	Dissertation Abstracts International74-10B(E).
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3565433
ISBN:	9781303151699

Adaptive Multiple Access Communication for High Data Rate Wireless Sensing Applications.
Salmani, Vahid.

Adaptive Multiple Access Communication for High Data Rate Wireless Sensing Applications. - 106 p.

Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2013.

Recent advances in miniaturization and wireless transceivers have enabled new applications such as pre-term infant monitoring. As embedded wireless sensor devices tend to be more compact, they will require less-complex and more efficient protocols. Designing communication protocols for wireless sensor networks is challenging due to several technical limitations they are exposed to. Constraints in memory, energy, and functionality are even more severe in case of high-data-rate and highly resource-constrained wireless sensor nodes.

ISBN: 9781303151699Subjects--Topical Terms:

1669061
Engineering, Computer.

Adaptive Multiple Access Communication for High Data Rate Wireless Sensing Applications.
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100 1 $a Salmani, Vahid. $3 2099707
245 1 0 $a Adaptive Multiple Access Communication for High Data Rate Wireless Sensing Applications.
300 $a 106 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
500 $a Adviser: Pai H. Chou.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2013.
520 $a Recent advances in miniaturization and wireless transceivers have enabled new applications such as pre-term infant monitoring. As embedded wireless sensor devices tend to be more compact, they will require less-complex and more efficient protocols. Designing communication protocols for wireless sensor networks is challenging due to several technical limitations they are exposed to. Constraints in memory, energy, and functionality are even more severe in case of high-data-rate and highly resource-constrained wireless sensor nodes.
520 $a In order to tackle the above challenges, a number of light-weight medium access control schemes are presented. We introduce the pre-pulling technique to maximize bandwidth utilization using interleaved wireless transmissions and pipelined operations. We also present a novel hybrid MAC protocol that resiliently adapts to the number of active nodes, and scales with variable network sizes. In addition to minimal footprint, a distinguishing feature of our adaptive approach is its deterministic contention resolution mechanism which enables it to achieve bounded latency on data transmissions.
520 $a We analyze the performance of the proposed schemes from different angles. Our work is evaluated and compared with the state of the art using extensive simulations. Our strategies for implementation on a real-world miniaturized embedded sensing platform are also presented. We define a tight upper-bound on throughput and succeed in utilizing the bandwidth to the maximum extent practicable. Experimental results demonstrate that our adaptive protocol is scalable and able to handle large network sizes without noticeable performance degradation.
590 $a School code: 0030.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Electronics and Electrical. $3 626636
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690 $a 0984
690 $a 0544
710 2 $a University of California, Irvine. $b Electrical and Computer Engineering - Ph.D.. $3 2094166
773 0 $t Dissertation Abstracts International $g 74-10B(E).
790 $a 0030
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3565433