Emmanuel Flores Huicochea, National Polytechnic Institute, Mexico

In this study, we introduce a novel scheme designed to effectively detect congestion within wireless sensor networks, utilizing buffer occupancy rates as a key indicator. Furthermore, our approach controls congestion by prioritizing incoming packets based on their importance during transmission over multiple channels. Congestion in these networks often results in packet retransmissions, which can significantly increase the energy consumption of sensor nodes. To address this issue, our proposed scheme not only aims to reduce energy usage but also to enhance the overall efficiency of communication within the network. When a sensor node receives a packet from another node during periods of congestion, this incoming packet is assigned a priority level that is determined by the estimated transmission distance. We leverage Received Signal Strength (RSS) measurements to accurately assess this distance, enabling us to make informed decisions about packet prioritization. Moreover, our scheme allows packets to utilize different numbers of available communication channels depending on their assigned priority. This dynamic channel allocation is adjusted based on the ratio of priority levels among the packets, ensuring that higher-priority packets can navigate the network more effectively, thereby alleviating congestion and optimizing energy consumption across the sensor nodes.

APA:
Chirica, I. (2023). Implementing Buffer-Based Congestion Detection and Control in Wireless Multi-Channel Sensor Networks Essential for Ensuring Optimal Performance and Reliability. Journal of Science and Engineering Management, 4(1), 11-22. https://doi.org/10.33832/jsem.2023.4.1.02