JOURNAL ARTICLE
CC2530-Based Wireless Data Long-Distance Communication Simulation Design and Application.
Published In: International Journal of Cooperative Information Systems, 2025, v. 34, n. 3. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Zhang, Yuling 3 of 3
Abstract
With the rapid development of IoT, low-power wireless networks are becoming more and more important in engineering applications. For different IoT applications, a variety of corresponding low-power wireless technologies are studied and used. Among them, ZigBee technology is widely used for wireless data long-distance communication networks that require low-power consumption, low communication rate and large capacity self-organizing networks. However, the standard ZigBee module is limited by the large noise factor of the receiver and the small radiation power of the transmitter in the module, which cannot meet the requirements of long-distance communication. In this paper, we combine RF and communication technologies to design a long-range, low-power transceiver based on ZigBee technology for wireless data long-range communication simulation design and application. Experimental results show that the model in the urban area of 500 m range, the system's packet loss rate is kept at a low 0.03 or so, and the average Rssi is kept above and below − 8 0 dBm, which can meet the general communication requirements and achieve the expected communication effect. Under the same packet rate, the model combines the improved AODVjr and Cluster_Tree algorithms, and the packet delivery rate can reach 98.5%, which greatly extends the wireless data long-distance communication life. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Cooperative Information Systems. 2025/09, Vol. 34, Issue 3, p1
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2025
- ISSN:0218-8430
- DOI:10.1142/S0218843024500047
- Accession Number:189027911
- Copyright Statement:Copyright of International Journal of Cooperative Information Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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