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Energy Efficient Spectrum Resources Usage in WPANs
IEEE 82.15.4 MAC Sub-layer Protocols
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.
This is a digital product.
Additional ISBNs
9781003338116, 9781000794731
Energy Efficient Spectrum Resources Usage in WPANs: IEEE 82.15.4 MAC Sub-layer Protocols 1st Edition is written by Fernando José Velez; Luís Miguel Borges; Norberto Barroca; Periklis Chatzimisios and published by River Publishers. The Digital and eTextbook ISBNs for Energy Efficient Spectrum Resources Usage in WPANs are 9781000791617, 1000791610 and the print ISBNs are 9788770222143, 8770222142. Additional ISBNs for this eTextbook include 9781003338116, 9781000794731.

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