Abstract
Future Internet of Things (IoT) will utilize IEEE 802.15.4 based low data rate communication for various applications. In the IEEE 802.15.4 standard, nodes send data to their Personal Area Network (PAN) coordinator using the Guaranteed Time Slot (GTS). The standard does not meet the adaptive data requirements of GTS requesting nodes in an efficient manner. If requesting GTSs in an active period are more or less than the available limit, either the requested nodes will not be entertained or GTSs remain underutilized. Consequently, it may cause unnecessary delay or poor GTS utilization. In this paper, an Optimal GTS allocation Mechanism for Adaptive Duty cycle (OGMAD) is proposed that adapts the active period of the superframe in accordance with the requested data. OGMAD also reduces GTS size to improve link utilization as well as accommodate more GTS requesting nodes. Simulation results verify that OGMAD improves link utilization, reduces network delay and offers more nodes to transmit their data as compared to the standard.
Highlights
Internet of Things (IoT) is emerging rapidly during the current decade due to its wide range of diverse applications such as traffic management, smart agriculture, and home automation [1]–[3]
The performance of OGMAD is evaluated by comparing it with the IEEE 802.15.4 for three different random data sets as well as for the fixed amount of adaptive data assigned to each node with varying parameter values of Superframe Order (SO) and Beacon Order (BO)
It is evident from the results that the Guaranteed Time Slot (GTS) utilization of OGMAD is significantly larger than the standard for all the different values of SO specified in the standard
Summary
Internet of Things (IoT) is emerging rapidly during the current decade due to its wide range of diverse applications such as traffic management, smart agriculture, and home automation [1]–[3]. IoT is used for monitoring, tracking, and calibrating industrial instruments to enable them for mission-critical applications [4], [5]. These critical applications require high throughput, low power consumption and guaranteed data delivery with a permitted latency [6]. Most of these mission-critical applications do not require a high bit rate.
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