Constructing Schedules for Time-Critical Data Delivery in Wireless Sensor Networks

Author:

Pöttner Wolf-Bastian1,Seidel Hans1,Brown James2,Roedig Utz3,Wolf Lars1

Affiliation:

1. Technische Universität Braunschweig

2. Lancaster University, United Kingdom

3. Lancaster University

Abstract

Wireless sensor networks for industrial process monitoring and control require highly reliable and timely data delivery. To match performance requirements, specialised schedule based medium access control (MAC) protocols are employed. In order to construct an efficient system, it is necessary to find a schedule that can support the given application requirements in terms of data delivery latency and reliability. Furthermore, additional requirements such as transmission power may have to be taken into account when constructing the schedule. In this article, we show how such schedule can be constructed. We describe methods and tools to collect the data necessary as input for schedule calculation. Moreover, due to the high complexity of schedule calculation, we also introduce a heuristic. We evaluate the proposed methods in a real-world process automation and control application deployed in an oil refinery and further present a long-term experiment in an office environment. Additionally, we discuss a framework for schedule life-cycle management.

Funder

Seventh Framework Programme

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

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1. Multichannel Pipelined Scheduling for Raw Data Convergecast in Sensor-Cloud;Mobile Networks and Applications;2023-11-28

2. No-Collision Scheduling Methods for Real-Time Transmission;Wireless Networks;2023

3. Recorp: Receiver-oriented Policies for Industrial Wireless Networks;ACM Transactions on Sensor Networks;2021-07-22

4. Energy-Adaptive and Bottleneck-Aware Many-to-Many Communication Scheduling for Battery-Free WSNs;IEEE Internet of Things Journal;2021-05-15

5. Determining Optimal Parallel Schedules in Tree-Based WSNs Using a Realistic Interference Model;Proceedings of Fifth International Congress on Information and Communication Technology;2020-10-22

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