Abstract

This paper proposed segmentized clear channel assessment (CCA) which increases the performance of IEEE 802.15.4 networks by improving carrier sense multiple access with collision avoidance (CSMA/CA). Improving CSMA/CA is important because the low-power consumption feature and throughput performance of IEEE 802.15.4 are greatly affected by CSMA/CA behavior. To improve the performance of CSMA/CA, this paper focused on increasing the chance to transmit a packet by assessing precise channel status. The previous method used in CCA, which is employed by CSMA/CA, assesses the channel by measuring the energy level of the channel. However, this method shows limited channel assessing behavior, which comes from simple threshold dependent channel busy evaluation. The proposed method solves this limited channel decision problem by dividing CCA into two groups. Two groups of CCA compare their energy levels to get precise channel status. To evaluate the performance of the segmentized CCA method, a Markov chain model has been developed. The validation of analytic results is confirmed by comparing them with simulation results. Additionally, simulation results show the proposed method is improving a maximum 8.76% of throughput and decreasing a maximum 3.9% of the average number of CCAs per packet transmission than the IEEE 802.15.4 CCA method.

Highlights

  • IEEE 802.15.4 is uniquely designed to provide low-power consumption and low-cost for low-rate wireless personal area networks (LR-WPAN) [1,2,3]

  • Carrier sense multiple access with collision avoidance (CSMA/CA), which is employed by IEEE 802.15.4 medium access control (MAC) protocol, provides a low-power consumption feature to IEEE 802.15.4 [4]

  • When the segmentized Clear channel assessment (CCA) is conducted at the end of a data transmission, the result depends on the last backoff period symbol size that was occupied by a data packet

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Summary

Introduction

IEEE 802.15.4 is uniquely designed to provide low-power consumption and low-cost for low-rate wireless personal area networks (LR-WPAN) [1,2,3]. Sensors 2016, 16, 815 assesses the channel as busy, a device should wait for a random amount of time, which is called random backoff period, to perform the CCA. This can lower the throughput performance and waste a lot of energy. To show the effectiveness of the proposed CCA method, the segmentized CCA is adapted to an IEEE 802.15.4 based network and compared with the ACS algorithm, which performs additional CCAs to increase the chance to transmit a packet. In bits the CAP, data transmission performed by using CSMA/CA and data using allocated of data and the symbol israte is 62.5 (ksymbols/s), so the duration of transmission the unit backoff period is data transmission using allocated guaranteed time slot (GTS).

Segmentized CCA
Analysis of the Segmentized CCA and Comparison with the ACS Algorithm
Analysis
Markov
Throughput Comparison between the Segmentized CCA and the ACS Algorithm
CCA Method
Findings
Conclusions
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