Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/458922
Title: | Analysis of dynamic topology wireless sensor networks for the internet of things iot |
Researcher: | Praveen Kumar R |
Guide(s): | Smys S |
Keywords: | Engineering and Technology Computer Science Computer Science Information Systems Wireless Sensor Networks Internet of Things Genetic Algorithm |
University: | Anna University |
Completed Date: | 2022 |
Abstract: | Wireless Sensor Networks (WSNs) have piqued the public s attention due to recent advancements in information and communication technology as well as the field of electronics. Industry has been concerned by the rapid increase in demand for wireless communication systems, which has prompted efforts to develop more efficient and Quality of Service (QoS)-focused wireless communication networks. Moreover, WSNs are a highly sought-after and widely utilized wireless network because of its decentralized and infrastructure-less nature. Moreover, internet of things (IoT) applications benefit from its low power lossy network functional reliability and cost-efficiency. Devices that monitor environmental/food/pathogens or help rescuers in disaster response are good candidates for the IoT, also implants that monitor the heart or various advantages transmitters on farm animals or electrified clams in coastal regions. newlineIn today s developing IoT world, wireless sensor interactions are critical. To ensure full system IP compatibility, industry efforts are focused on standardizing the WSN protocol suite and enabling the second generation of IoT devices to be produced. As a result of their robust communications and conformance to less verbose WSN features such as sleep cycles required to keep end nodes total energy consumption low, the WSN protocols are strong contenders for use as a highly useable implementation layer for the IoT. Existing smart systems make use of system assets newline |
Pagination: | xviii, 188p. |
URI: | http://hdl.handle.net/10603/458922 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 25.88 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.58 MB | Adobe PDF | View/Open | |
03_content.pdf | 9.17 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 111.62 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 907.8 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 115.53 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 628.93 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 500.91 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 339.27 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 584.77 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 2.85 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.81 MB | Adobe PDF | View/Open |
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