Abstract

One of the most important problems of data transmission in packet networks, in particular in wireless sensor networks, are periodic overflows of buffers accumulating packets directed to a given node. In the case of a buffer overflow, all new incoming packets are lost until the overflow condition terminates. From the point of view of network optimization, it is very important to know the probabilistic nature of this phenomenon, including the probability distribution of the duration of the buffer overflow period. In this article, a mathematical model of the node of a wireless sensor network with discrete time parameter is proposed. The model is governed by a finite-buffer discrete-time queueing system with geometrically distributed interarrival times and general distribution of processing times. A system of equations for the tail cumulative distribution function of the first buffer overflow period duration conditioned by the initial state of the accumulating buffer is derived. The solution of the corresponding system written for probability generating functions is found using the analytical approach based on the idea of embedded Markov chain and linear algebra. Corresponding result for next buffer overflow periods is obtained as well. Numerical study illustrating theoretical results is attached.

Highlights

  • Capacities of buffers accumulating incoming packets in computer and telecommunication network nodes, e.g., wireless sensor network (WSN) nodes or LAN routers, are limited

  • The possibility of probabilistic evaluation of the duration of the buffer overflow period is crucial in the evaluation of transmission quality and the network optimization process

  • The article proposes a probabilistic model for the functioning of a wireless sensor network node based on a queueing system with discrete time and a limited capacity of the buffer accumulating incoming data packets

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Summary

Introduction

Capacities of buffers accumulating incoming packets in computer and telecommunication network nodes, e.g., wireless sensor network (WSN) nodes or LAN routers, are limited. The model is based on a finite-buffer discrete-time queueing system with one processing station. One can find analytical results for probability distributions of buffer overflow durations for the finite- and infinite-buffer M/G/1-type queueing models in [5,6,7,8]. The representation for the queue-size distribution in a model with Poisson arrivals, AQM-type dropping function and finite buffer capacity is obtained, e.g., in [16]. Cost analysis for sensor network nodes accepting two different classes of packets is done in [28] basing on the finite-buffer Geo/G/1/K-type model with vacations. We study the model of a WSN node based on a finite-buffer discrete-time queueing system in transient state.

Model Description
Basic Equations for First Buffer Overflow Duration
Representation for Solution
The Case of Next Buffer Overflows
Numerical Study
Impact of the Type of Processing Distribution
Impact of Skewness Type of the Processing Distribution
Impact of System Size
Conclusions
Full Text
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