Slotted-Aloha (S-Aloha) has been widely employed in random access networks owing to its simple implementation in a distributed manner. To enhance the throughput performance of the S-Aloha, connection-based slotted-Aloha (CS-Aloha) has been proposed in recent years. The fundamental principle of the CS-Aloha is to establish a connection with a short-sized request packet before transmitting data packets. Subsequently, the connected node transmits long-sized data packets in a batch of size ๐ . This approach efficiently reduces collisions, resulting in improved throughput compared to the S-Aloha, particularly for a large ๐ . In this paper, we address the short-term fairness of the CS-Aloha, as quantified by Jainโs fairness index. Specifically, we evaluate how equitably the CS-Aloha allocates time slots to all nodes in the network within a finite time interval. Through simulation studies, we identify the impact of system parameters on the short-term fairness of the CS-Aloha and propose an optimal transmission probability to support short-term fairness.
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Abstract 1. Introduction 2. Overview of the CS-Aloha 3. Short-term Fairness 4. Simulation Studies 4.1 Parameter setup 4.2 Impact of the window size ๐ on the short-term fairness of the CS-Aloha 4.3 Impact of the batch size M on the short-term fairness of the CS-Aloha 4.4 Impact of the transmission probability r on the short-term fairness of the CS-Aloha 5. Conclusion References