Analysis study of data buffer policies in a fuzzy logic based WSN using cluster head

Ranjith, R.; Vishwas, H. N.

doi:10.1109/smarttechcon.2017.8358492

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Furthermore, wireless sensor network (WSN) has emerged as the new technology that will have a profound efect in all the felds being wireless in nature. Data packet delivery process in WSN was discussed in [2] with the help of two bufer policies. Because two diferent priorities (high priority and low priority) are applied at each node.…”

Section: Introductionmentioning

confidence: 99%

Steady State Analysis of Base Station Buffer Occupancy in a Cellular Mobile System

Nada

2023

Journal of Computer Networks and Communications

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The 3rd generation partnership project (3GPP) standards organizations makes great efforts in order to reduce the latency of 5G mobile networks to the least possible extent. Recently, these networks are associated with big buffers to maximize the network utilization and minimize the wasted wireless resources. However, in existence of the TCP congestions, having bottlenecks are still expected on radio access networks (RANs) data paths. Consequently, this influences the network performance and reduces its quality of services (QoSs). Apparently, studying and improving the behavior of buffers deployed at 5G mobile networks devices can contribute to solving these problems (at least by reducing the queuing time at these buffers). In this paper, we study the buffer behavior of base stations in a 5G mobile network at steady state. We consider a cellular mobile network consisting of finite number of users (stations, terminals, and mobiles). At any time-slot, a station may be using the channel (busy) or not using the channel (idle). Since system analysis of cellular mobile networks in general form is rather complex, solutions are always obtained in closed forms or by numerical techniques. A two-dimensional traffic system for cellular mobile networks is presented, and the main performance evaluations are derived. Moreover, different moments of the base station buffer occupancy are calculated. The study reveals that there is a correlation between the state of the mobile stations (busy or idle) and the expected buffers occupancy of the base station. In addition, the results discussions demonstrate some important factors and parameters that affect the base station buffers and the overall network performance. These factors can be further worked on and controlled to obtain the least possible latency in next generation mobile networks.

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Section: Introductionmentioning

confidence: 99%