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Energy Efficient Spectrum Resources Usage in WPANs

IEEE 802.15.4 MAC Sub-layer Protocols

Language EnglishEnglish
Book Hardback
Book Energy Efficient Spectrum Resources Usage in WPANs Fernando Jose Velez
Libristo code: 33268780
Publishers River Publishers, September 2022
Wireless Sensor Networks (WSNs) and the Internet of Things are facing tremendous advances both in te... Full description
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Wireless Sensor Networks (WSNs) and the Internet of Things are facing tremendous advances both in terms of energy-efficiency as well as in the number of available applications. Consequently, there are challenges that need to be tackled for the future generation of WSNs. After giving an overview of the WSN protocols and IEEE 802.15.4 standard, this book proposes IEEE 802.15.4 Medium Access Control (MAC) sub-layer performance enhancements by employing not only RTS/CTS combined with packet concatenation but also scheduled channel poling (MC-SCP). Results have shown that the use of the RTS/CTS mechanism improves channel efficiency by decreasing the deferral time before transmitting a data packet. Furthermore, the Sensor Block Acknowledgment MAC (SBACK-MAC) protocol enables more efficiency as it allows the aggregation of several acknowledgement responses in one special Block Acknowledgment (BACK) response packet. The throughput and delay performance have been mathematically derived under both ideal conditions (a channel environment with no transmission errors) and non-ideal conditions (with transmission errors). Simulation results successfully validate the proposed analytical models. This research reveals the importance of an appropriate design for the MAC sub-layer protocol for the desired WSN application. Depending on the mission of the WSN application, different protocols are required. Therefore, the overall performance of a WSN application certainly depends on the development and application of suitable e.g., MAC, network layer protocols.

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About the book

Full name Energy Efficient Spectrum Resources Usage in WPANs
Language English
Binding Book - Hardback
Date of issue 2022
Number of pages 250
EAN 9788770222143
ISBN 8770222142
Libristo code 33268780
Publishers River Publishers
Weight 960
Dimensions 156 x 234
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