Priority and adaptive QoS mechanism for Wireless Networked Control Systems using IEEE 802.15.4

Abstract

Wireless Networked Control Systems (WNCSs) require a special attention on communication protocols used to exchange time-constrained messages. The native IEEE 802.15.4 standard does not implement mechanisms capable to control the service offered by network. This paper proposes a solution enabling to prioritize the messages based on the blackburst mechanism. An analytic study on worst-case response time is presented to evaluate the performance of this new mechanism. Moreover, an online adaptation of the quality of control (QoC) is presented. These mechanisms are implemented and added to TrueTime and validated through simulations.

An Efficient Algorithm for End-to-End Latency Optimization Over IEEE 802.15.4 Wireless Network for IoT Applications

“…Several studies have been published in order to analyse the performance of IEEE 802.15.4 standard, confirm all the poor performances (latency, Packet Delivery Ratio, throughput) in a large-scale network. While other works, such as [5,[7][8][9][10][11] attempt to evaluate the impact of the slotted CSMA/CA parameters over the performance criteria of WSNs. According to Anastasi et al [5], the standard provides a very low level of PDR (Packet Delivery Ratio) due to the parameters defined by the standard for the slotted CSMA/CA algorithm.…”

“…Many works have tried to process the concept of priority for heterogeneous applications. To differentiate the medium access priority, Boughanmi et al [10] have used a new mechanism based on CSMA/CA algorithm called Blackburst message. When a node wants to access the medium, it waits for a time interval called LIFS (long inter-frame space) before it sends its Blackburst message, which its length depends on data priority.…”

“…After calculating , we classify its value into the range [1,3] and then based on its classification, takes linearly one value that belong to the range [2,10]. depends on ; more we have a low value of the global priority , more the value of is low in the range [2,10]. To more understand this process, see the presented example in Table .2 that illustrates all the values of and for = 0.3.…”

“…The works [5][6][7][8][9][10][11] try to analyse the performance of both CAP and CFP periods; they all conclude that the parameter values used by the standard adversely affect the performance of sensor networks. In order to create a new algorithm that is able to satisfy the heterogeneous WSN requirements we propose, in this paper, to manage the quality of service during the CAP period of IEEE 802.15.4 super-frame.…”

Congestion Control in Wireless Software Defined Networks with Propagation Delay and External Interference: A Robust Control Approach

“…Existing work has been proposed to tackle the stability control problem. In [18] an analytic study on the interval service response was presented to evaluate the performance based on black burst mechanism. A scheduling strategy was proposed to establish the WSN dynamical model, which adopted traditional stability control theory to address system state stabilization [19].…”