A scheduling method based on packet combining to improve end-to-end delay with constrained latency for TSCH network

Abstract

Wireless sensor networks (WSN), are new evolution for Internet of Thing (IoT) application to monitor real-time environmental status, especially low power network in the field of industrial area. The evolution through the year of the wireless technology give a number of possible applications of such technology in different fields of life such as agriculture, smart home, smart city and industrial monitoring. For example, in agriculture, the application collects humidity, temperature and soil moisture from different vegetable gardens periodically to monitor each garden’s status at the central station. Based on this information, we took further actions to improve the crop yield with low-cost. In tunnels, the application collects carbon dioxide gas levels from different places periodically to monitor the carbon dioxide gas level status; based on this information, the application notified unsafe places in tunnels to employees who work in these tunnels. In this study, we proposed heuristic scheduling algorithm that’s based on data-aggregation and prioritizes each packet transmission dynamically based on its laxity (i.e., the remaining time before the end-to-end deadline) with different period apply to TSCH network to increase schedulability, reduce number of data transmissions, E2E delay, high reliability.