Title: A dynamic sensing-based, adaptive energy-efficient transmission scheme for wireless sensor networks in perishable goods monitoring

Authors: Li Chen

Addresses: School of Integrated Circuits and Communications, Suzhou Vocational Institute of Industrial Technology, Suzhou 215000, China

Abstract: The 'cold chain' is a temperature-controlled supply chain crucial for preserving perishable goods - such as pharmaceuticals - by maintaining low temperatures throughout storage and transport. Wireless sensor networks play a crucial role in monitoring these conditions in real-time. However, their performance is hindered by harsh environments, limited node energy, and dynamic channel conditions, which result in a shortened network lifetime and unreliable transmissions. Existing transmission schemes often employ static parameters and lack adaptability, leading to energy waste and poor reliability under fluctuating cold chain conditions. To overcome these limitations, this paper proposes an adaptive energy-efficient transmission scheme based on dynamic sensing. The core approach involves constructing a sensing model to quantify key parameters and designing a fuzzy logic-based adaptive transmission algorithm. Experimental results demonstrate that the proposed method reduces energy consumption by up to 32%, extends network lifetime by 40%, and maintains a data transmission success rate of over 98%, outperforming conventional methods.

Keywords: wireless sensor networks; WSNs; dynamic sensing; adaptive transmission; energy efficiency.

DOI: 10.1504/IJSNET.2025.150860

International Journal of Sensor Networks, 2025 Vol.49 No.4, pp.259 - 269

Received: 27 Aug 2025
Accepted: 01 Sep 2025
Published online: 24 Dec 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article