RTDCM: A Coding Preemption Collection System for Key Data Prioritization With Hierarchical Probability Exchange Mechanism in Mobile Computing

Abstract

Mobile computing technology will enable computers or other information intelligent terminal devices to enable data transmission and resource sharing in a wireless environment. In industrial or disaster situations, the destruction of sensor nodes is unpredictable, and some urgent data, such as information about damage points in industrial equipment, needs to be immediately transmitted to decision makers. Traditional data collection protocols, such as Growth Codes, cannot distinguish the importance of data. This behavior increases the risk of losing important data. In this article, we analyze the impact of the Growth Codes on the “fair” processing of all data. From the perspective of distinguishing the importance of data, a real-time data collection model (RTDCM) is proposed. This model enables important data to capture the coding opportunities of common data, increase the proportion of code words with important data in the overall code word of the network, and layer the network, so that the data transmission has a certain purpose, and ultimately improve the decoding efficiency of important data. According to different preemption methods, two RTDCM-based protocols are designed. Experiments show that the data recovery characteristics of RTDCM-based data acquisition protocols are mainly concentrated on important data, and have high recovery efficiency for ordinary data.

Keywords

• Data collection
• growth codes
• intelligent algorithm
• mobile computing
• network coding
• wireless sensor network