Abstract

A cognitive radio sensor network (CRSN) is a solution that enables sensor nodes to opportunistically access licensed radio channels. Data transmitted over a network are divided into packets. In machine-to-machine communication, which is a heterogeneous nature of wireless networks, small-size packets are the common form of traffic. Due to the nature of CRSNs, small data packets will not allow a balance between optimal performance of the network and fulfilling the secondary network obligations towards the primary network in terms of interference. Either interference or channel’s underutilization would result from employing data packets of inadequate size. In this paper, the appropriate packet size for adaptive CRSN is investigated by examining the performances of small, medium, and large packet size. In contrast to the trends of exploiting small packets of sizes up to 128 bytes, this study demonstrates that medium-size packets are more appropriate to yield the best performance in CRSNs. Simulation results show that packets of size 375 bytes outperform smaller and larger packets in many CRSN protocols. The induced delay that is partially caused by interference is decreased at the same time the channels are efficiently utilized.

Highlights

  • Wireless sensor networks (WSN) applications are implemented in traditional and emerging applications such as security, automated industry, and e-Health

  • Aimed at maximizing the goodput, another study based on carrier spectrum multiple access (CSMA) mechanism [22] proposed an analytical model to determine the optimal packet size based on the packet error probability, the collisions between the secondary network users (SUs) themselves, and the collisions between SUs and primary network users (PUs)

  • This study has examined the impact of packet size on the performance of cognitive radio sensor network (CRSN) in terms of two main performance metrics, namely, the delay and the throughput

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Summary

Introduction

Wireless sensor networks (WSN) applications are implemented in traditional and emerging applications such as security, automated industry, and e-Health. Cognitive radio (CR) technology enables SUs to opportunistically utilise the licensed channels assigned to primary network users (PUs). Such technology aims at improving the spectrum utilisation and mitigating the effects of the license-free spectrum overcrowding [5]. Overhead data and the inefficient utilisation of resources induced by using small-size packets in emerging heterogeneous networks are often overlooked Other substantial factors such as smallsize packets have low signal noise ratios (SNRs) compared to large size packets, in effect of noise such as thermal noise [13], and the fact that large-size packets are able to achieve higher efficiency of bandwidth utilisation [14, 15] is neglected. This study is an extension of the work in [16] and it is organised as follows: Section 2 presents the related works, Section 3 introduces the system model and shows the adopted MAC protocol, Section 4 presents the mathematical model, Section 5 shows the evaluation and the results are discussed, and Section 6 concludes the work

Related Works
System Model
Mathematical Model
Packet Size Impact Evaluation
Conclusion
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