東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Low Cost and Reliable Wireless Sensor Networks for Environmental Monitoring.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Low Cost and Reliable Wireless Sensor Networks for Environmental Monitoring./
作者:	Naderi, Sonia.
面頁冊數:	1 online resource (85 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-08, Section: B.
Contained By:	Dissertations Abstracts International84-08B.
標題:	Wireless communications. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30259309click for full text (PQDT)
ISBN:	9798371952905

Low Cost and Reliable Wireless Sensor Networks for Environmental Monitoring.
Naderi, Sonia.

Low Cost and Reliable Wireless Sensor Networks for Environmental Monitoring. - 1 online resource (85 pages)

Source: Dissertations Abstracts International, Volume: 84-08, Section: B.

Thesis (Ph.D.)--The University of Maine, 2022.

Includes bibliographical references

This thesis utilizes wireless sensor network systems to learn of changes in wireless network performance and environment, establishing power efficient systems that are low cost and are able to perform large scale monitoring. The proposed system was built at the University of Maine's Wireless Sensor Networks (WiSe-Net) laboratory in collaboration with University of New Hampshire and University of Vermont researchers. The system was configured to perform soil moisture measurement with provision to include other sensor types at later stages in collaboration with Alabama A & M University.In the research associated with this thesis, a general relay energy assisted scenario is considered, where a transmitter is powered by an energy source through both direct and relay links. An energy efficient scheduling method is proposed for the system model to determine whether to transmit data or stay silent based on the stored energy level and channel state. An analytical expression has been derived to approximate outage probability of the system in terms of energy and data thresholds.In addition, we propose a model for evaluating the outage probability of a solar powered base station, equipped with a selected photo voltaic panel size and battery configuration. The energy harvesting environment location has been selected as the state of Maine, during a variety of weather conditions, considering base station loading during different days of the week. Simulation results shows the required photo-voltaic panel size and number of batteries for specific tolerable outage probability of the system.The fundamental contribution of this work is in development of hardware and software based on new methodologies to optimize network longevity using AI/ML. One of the most important metrics to define longevity and reliability is the outage probability of a network. We have derived equations for the outage probability, based upon power configuration panel size, battery capacity and the environmental factors, meteorological and diurnal. This will impact the observed cost function which is outage probability. The system models proposed in this thesis result in much more energy efficient systems with less outage probabilities compared to the current systems.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798371952905Subjects--Topical Terms:

3554231
Wireless communications.
Index Terms--Genre/Form:

542853
Electronic books.

Low Cost and Reliable Wireless Sensor Networks for Environmental Monitoring.
LDR:03560nmm a2200373K 4500 001 2356311
005 20230612072304.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798371952905
035 $a (MiAaPQ)AAI30259309
035 $a (MiAaPQ)U_Maine4758
035 $a AAI30259309
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Naderi, Sonia. $3 3696791
245 1 0 $a Low Cost and Reliable Wireless Sensor Networks for Environmental Monitoring.
264 0 $c 2022
300 $a 1 online resource (85 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-08, Section: B.
500 $a Advisor: Abedi, Ali ; Rawle, Walter.
502 $a Thesis (Ph.D.)--The University of Maine, 2022.
504 $a Includes bibliographical references
520 $a This thesis utilizes wireless sensor network systems to learn of changes in wireless network performance and environment, establishing power efficient systems that are low cost and are able to perform large scale monitoring. The proposed system was built at the University of Maine's Wireless Sensor Networks (WiSe-Net) laboratory in collaboration with University of New Hampshire and University of Vermont researchers. The system was configured to perform soil moisture measurement with provision to include other sensor types at later stages in collaboration with Alabama A & M University.In the research associated with this thesis, a general relay energy assisted scenario is considered, where a transmitter is powered by an energy source through both direct and relay links. An energy efficient scheduling method is proposed for the system model to determine whether to transmit data or stay silent based on the stored energy level and channel state. An analytical expression has been derived to approximate outage probability of the system in terms of energy and data thresholds.In addition, we propose a model for evaluating the outage probability of a solar powered base station, equipped with a selected photo voltaic panel size and battery configuration. The energy harvesting environment location has been selected as the state of Maine, during a variety of weather conditions, considering base station loading during different days of the week. Simulation results shows the required photo-voltaic panel size and number of batteries for specific tolerable outage probability of the system.The fundamental contribution of this work is in development of hardware and software based on new methodologies to optimize network longevity using AI/ML. One of the most important metrics to define longevity and reliability is the outage probability of a network. We have derived equations for the outage probability, based upon power configuration panel size, battery capacity and the environmental factors, meteorological and diurnal. This will impact the observed cost function which is outage probability. The system models proposed in this thesis result in much more energy efficient systems with less outage probabilities compared to the current systems.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Wireless communications. $3 3554231
650 4 $a Wireless networks. $3 1531264
650 4 $a Scheduling. $3 750729
650 4 $a Solar energy. $3 520346
650 4 $a Sensors. $3 3549539
650 4 $a Antennas. $3 3681648
650 4 $a Probability. $3 518898
650 4 $a Carbon footprint. $3 3564744
650 4 $a Alternative energy sources. $3 3561089
650 4 $a Ecosystems. $3 595401
650 4 $a Data transmission. $2 nasat $3 856064
650 4 $a Harvest. $3 3559359
650 4 $a Energy consumption. $3 631630
650 4 $a Agronomy. $3 2122783
650 4 $a Alternative energy. $3 3436775
650 4 $a Electrical engineering. $3 649834
650 4 $a Energy. $3 876794
650 4 $a Mathematics. $3 515831
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0285
690 $a 0363
690 $a 0544
690 $a 0791
690 $a 0405
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a The University of Maine. $3 1029373
773 0 $t Dissertations Abstracts International $g 84-08B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30259309 $z click for full text (PQDT)