Abstract
IoT systems are heterogeneous network systems which consist of sensor terminals monitoring different objects. Terminal sensors have different sampling frequencies determined by minimum Nyquist sampling requirements. It is difficult to ensure synchronization when monitoring data of different sensors is transmitted to the data center. In consideration of sampling requirements of different terminals and in order to upload the sampling data timely and avoid data congestion, an applicable node scheduling scheme is necessary. In this paper node scheduling algorithms are proposed in hierarchical IoT systems with cluster topologies. The IoT systems include IoT alarming systems and IoT monitoring systems. In the simulation test, node scheduling methods are tested and the validity is demonstrated quantitatively.
Highlights
IoT(Internet of Things) refers to distributed collaborative networks which connect the Internet and huge smart objects such as RFID(Radio Frequency Identification) devices, infrared sensors, global positioning systems, laser scanners, etc[1]
IoT systems are heterogeneous network systems which consist of sensor terminals monitoring different objects
Information sampling is a fundamental problem in IoT systems, and due to multiple monitoring objects and different sampling frequency requirements, a multi-rate sampling problem is involved in IoT systems [3]
Summary
IoT(Internet of Things) refers to distributed collaborative networks which connect the Internet and huge smart objects such as RFID(Radio Frequency Identification) devices, infrared sensors, global positioning systems, laser scanners, etc[1]. The fundamental part of an IoT system is the sensing network which consists of sensor nodes, and the end terminal is the data center. Sensor nodes in IoT systems can connect with each other through both wireless and wired networks. Information sampling is a fundamental problem in IoT systems, and due to multiple monitoring objects and different sampling frequency requirements, a multi-rate sampling problem is involved in IoT systems [3]. In most IoT systems, uploading the sampling data to the data center in real time is an important requirement, and applicable network scheduling schemes are necessary to ensure this requirement under constraints of sampling rules of different senor terminals. The node scheduling problem is discussed in hierarchical cluster IoT networks [4], in which there are heterogeneous sensor nodes with different sampling rates. The following organization is: in Section 2 the related work is introduced, Section 3 is the problem statement, in Section 4, nodes scheduling algorithms are proposed, Section 5 is the simulation part, and the last is the conclusion part
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