Abstract
Accurate and efficient estimators for End to End delay (E2EPD) plays a significant and critical role in Quality of Service (QoS) provisioning in Internet of Things (IoT) wireless communications. The purpose of this paper, on one hand, is to propose a novel real-time evaluation metrics, on the other hand, addresses the effects of varying packet payload (PP) size. These two objectives rely on the analysis of E2EPD for QoS provisioning in multi-hop wireless IoT networks through multiple hops count from source to destination. The results of this study show the critical effect of PP size, hops count and interface speed on the improving E2EPD use of applications requiring real-time IoT communications.
Highlights
End-to-End delay is the time taken by a packet to travel from source to destination [1], [2],[3]
This paper studies the E2ED of an Internet of Things (IoT) wireless network, the system is configured as a single source S node sends packets to single destination T node across several IoT nodes
It is observed that the respective E2ED were linearly increased with increasing hops count or packet payload
Summary
End-to-End delay is the time taken by a packet to travel from source to destination [1] , [2] ,[3] It is an important design and performance characteristic of IoT wireless communications networks. It is especially important for delaysensitive applications and for which need transmitting packet data with average delay constraints [4]. This paper gives a simplistic overview of the role that can play the payload length (based on some basic parameters) for improving the E2E delay in IoT network performance.
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