It is also adopted by the IoT-ARMĬommu-nication stack and other IoT reference architectures, providing wireless connectivityĪnd promoting interoperability for IoT low-end devices in the edge network. With a high maturity levelĪnd widely used by technologies like ZigBee-1.0 and -2006, it has become
LAYERS OF THE MAC OS ARCHITECTURE MAC
Specifies the PHY and the MAC layers for LR-WPAN. Maintained by the IEEE 802.15 working group, the IEEE 802.15.4 standard Cabral, "Building IEEE 802.15.4 Accelerators for Heterogeneous Wireless Sensor Nodes," in IEEE Sensors Letters, vol. Ideas and findings presented in this chapter resulted in the following publication: Finally, Section 4.5, concludes this chapter. Allįiltering functionalities are executed by the accelerator in order to discard unneededįrames, which avoids unnecessary interrupts to the OS and increases the systemĪvailability up to 59%. Of the heterogeneous architecture, offering nearly 17% of overhead reduction. IoT network scenario, show the benefits of including such an accelerator on the RCU The achieved results presented in Section 4.4, obtained from a typical The MLA and its internal modules and functionalities are presented and explained in Protocol Data frame, which is the main targeted component of the MLA. This chapter is structured as follows: Section 4.1 gives a brief overview over the IEEEĨ02.15.4 standard and its evolution over the years, while Section 4.2 presents the The MLA also supports extra features, suchĪs the detection of multiple receptions of the same frame. Im-plements the First-, Second- and Third-level of filtering, as specified by the IEEEĨ02.15.4 standard, performing all the processing and filtering of a received MPDUīefore it reaches the OS network stack. Specially tailored for handling the MAC Data frames, the MLA Reduce these overheads, this chapter proposes the MAC layer accelerator (MLA),Īn IEEE 802.15.4 hardware accelerator to be deployed on the heterogeneousĪrchi-tecture presented in the Chapter 3, which mainly targets endpoint devices in the Transferred over the network that needs to be handled. Resources utilization, e.g., CPU and energy, caused by the increased amount of data However,īring-ing IPv6 connectivity to low-end wireless sensor nodes leads to considerable device
Packets to be sent and received over IEEE 802.15.4-based networks. The 6LoWPAN enables traditional WSN devices to be IP-connected, allowing IPv6