東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimizing router nodes placement fo...

Ganesan, Arun.

Linked to FindBook

Google Book

Amazon

博客來

Optimizing router nodes placement for designing distributed sensor network.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimizing router nodes placement for designing distributed sensor network./
Author:	Ganesan, Arun.
Description:	86 p.
Notes:	Source: Masters Abstracts International, Volume: 52-06.
Contained By:	Masters Abstracts International52-06(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1527703
ISBN:	9781303925580

Optimizing router nodes placement for designing distributed sensor network.
Ganesan, Arun.

Optimizing router nodes placement for designing distributed sensor network. - 86 p.

Source: Masters Abstracts International, Volume: 52-06.

Thesis (M.S.)--California State University, Long Beach, 2014.

This item must not be sold to any third party vendors.

Designing a distributed wireless sensor network can be an arduous task if not done with simulation tools. Simulation with a tool should provide a robust and efficient solution of the problem with quick response time but available simulation tools for designing these wireless sensor networks are very limited. Pugelli, Mozumdar, Lavagno and Sangiovanni-Vicentelli proposed an interactive design tool that can assist rapid design of sensor network. This tool synthesizes networks using Dijkstra's algorithm but its execution time is very high when the network size is relatively large (n>=50). Moreover, it produces sub-optimal solution with large number of router nodes. In this thesis, we present efficient and robust synthesis algorithms that exclusively reduce running time for large networks and also produce a synthesized network with a reduced number of router nodes by as much as 50%.

ISBN: 9781303925580Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Optimizing router nodes placement for designing distributed sensor network.
LDR:01902nmm a2200301 4500 001 2056766
005 20150608133905.5
008 170521s2014 ||||||||||||||||| ||eng d
020 $a 9781303925580
035 $a (MiAaPQ)AAI1527703
035 $a AAI1527703
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ganesan, Arun. $3 3170545
245 1 0 $a Optimizing router nodes placement for designing distributed sensor network.
300 $a 86 p.
500 $a Source: Masters Abstracts International, Volume: 52-06.
500 $a Adviser: Mohammad Mozumdar.
502 $a Thesis (M.S.)--California State University, Long Beach, 2014.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Designing a distributed wireless sensor network can be an arduous task if not done with simulation tools. Simulation with a tool should provide a robust and efficient solution of the problem with quick response time but available simulation tools for designing these wireless sensor networks are very limited. Pugelli, Mozumdar, Lavagno and Sangiovanni-Vicentelli proposed an interactive design tool that can assist rapid design of sensor network. This tool synthesizes networks using Dijkstra's algorithm but its execution time is very high when the network size is relatively large (n>=50). Moreover, it produces sub-optimal solution with large number of router nodes. In this thesis, we present efficient and robust synthesis algorithms that exclusively reduce running time for large networks and also produce a synthesized network with a reduced number of router nodes by as much as 50%.
590 $a School code: 6080.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Computer. $3 1669061
690 $a 0544
690 $a 0464
710 2 $a California State University, Long Beach. $b Electrical Engineering. $3 2094840
773 0 $t Masters Abstracts International $g 52-06(E).
790 $a 6080
791 $a M.S.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1527703