The trickle algorithm allows network nodes to share the medium for data transmission, making it possible to exchange data in a reliable, energy-efficient, simple, and scalable manner. Consequently, trickle's operation is critical for performance metrics such as packet delivery ratio (PDR), power consumption (PC), and message overhead, particularly in high-density networks. A high-density network is designed to serve a large number of WLAN clients, and the performance analysis of network protocols can be challenging due to its large scale. This paper presents comprehensive analysis results for the RPL protocol in high-density networks with random topology to investigate the effect of PC, and control traffic overhead when the RX ratio varies with node count. Also, this paper compares the most recent RPL performance studies and conducts a detailed study of the effect of trickle timer parameters on DIO messages. The results revealed that parameters significantly affect PDR, PC, and control traffic overhead. The minimum rank with hysteresis objective function (MRHOF) reduced control traffic overhead by transmitting 325 packets with 1.05 traffic overhead, while objective function zero (OF0) showed superior power consumption at 1.5 mW.
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Albashayreh et al. (2024) studied this question.
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