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This paper presents a wireless mesh network testbed based on ESP8266 devices using painlessMesh library. It evaluates its feasibility and potential effectiveness as a solution to monitor perishable goods, such as fresh fruit and vegetables, which are often stored and transported inside refrigerated containers. Performance testing experiments with different numbers of nodes and traffic loads and different message payload sizes are conducted under unicast transmission. The impact on network performance is evaluated in terms of delivery ratio and delivery delay, which, consequently, affect the energy consumption and, hence, network lifetime. The results of this investigation are an important contribution to help researchers to propose mechanisms, schemes, and protocols to improve performance in such challenging networks.

Wireless mesh networking (WMN) is a continuous growing technology that has an important role towards the vision of smart agriculture. This work presents the setup and performance assessment of a wireless mesh network testbed developed within the context of PrunusPós project to collect data such as temperature and humidity of fruit crates or containers when stored or transported in refrigerated chambers. The testbed is based on ESP8266 devices connected in a wireless mesh using the painlessMesh library. A performance evaluation study was conducted with different numbers of nodes, traffic loads, and message payload sizes under unicast and broadcast communication. The impact on network performance is evaluated in terms of delivery ratio and delivery delay. This study will guide the future development of mechanisms, schemes and protocols that provide efficient bandwidth utilization and energy-efficient computing for the PrunusPós project WMN.

This paper presents the performance evaluation of a wireless sensor mesh network, for monitoring temperature and humidity in horticultural products when transported in truck galleys. For this purpose a software solution was proposed using ESP8266 devices powered by batteries. The mesh network was managed by the painlessMesh library. The proposed solution aims to minimize the energy consumption of the sensor nodes. The validation of the solution was performed in an area simulating a galley of a truck, where five sensor nodes and a root node were distributed. The tests were developed considering four different models involving variations in messages delivery confirmation, number of attempts until successful delivery and duty cycle duration of the nodes. The performance evaluation of the solution aimed to determine, connectivity rate, sending rate after connection and delivery rates of the first and second attempts. The results obtained show that the message delivery confirmation does not bring added value to the solution, contributing only to increase energy consumption. The use of synchronous duty cycles also showed worse results than the asynchronous use. These results allow the creation of a knowledge base for the use of this solution in a real context.