Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems
In vehicular cyber-physical systems, cars are connected to create a mobile network called a vehicular ad hoc network (VANET) to perform various functions, including improved awareness of the surrounding environment. Moving vehicles continually broadcast beacon signals containing information such as...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9064507/ |
| _version_ | 1818608619582652416 |
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| author | Byeong-Moon Cho Min-Seong Jang Kyung-Joon Park |
| author_facet | Byeong-Moon Cho Min-Seong Jang Kyung-Joon Park |
| author_sort | Byeong-Moon Cho |
| collection | DOAJ |
| description | In vehicular cyber-physical systems, cars are connected to create a mobile network called a vehicular ad hoc network (VANET) to perform various functions, including improved awareness of the surrounding environment. Moving vehicles continually broadcast beacon signals containing information such as position, heading, acceleration, steering angle, vehicle size, and accident notification. However, channel congestion in dense traffic conditions adversely affects network performance. To resolve congestion in VANETs, several works in the literature have studied congestion control. However, they have considered packet loss only as an indication of channel congestion regardless of channel condition. In this paper, we present a channel-aware congestion control algorithm (CACC) that controls the transmission power and data rate. We take into account the received signal strength (RSS) when diagnosing packet loss to determine channel conditions, such as severe fading or channel congestion. In the case of severe fading, we decrease the data rate for a more robust modulation and coding scheme. Additionally, we adjust the transmission power to maintain a desirable packet error rate. Our simulation results show that CACC significantly outperforms other distributed congestion control algorithms by reducing the packet loss rate and increasing the packet delivery ratio. |
| first_indexed | 2024-12-16T14:45:32Z |
| format | Article |
| id | doaj.art-323daff7baad4afab2129d028558b053 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T14:45:32Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-323daff7baad4afab2129d028558b0532022-12-21T22:27:48ZengIEEEIEEE Access2169-35362020-01-018731937320310.1109/ACCESS.2020.29874169064507Channel-Aware Congestion Control in Vehicular Cyber-Physical SystemsByeong-Moon Cho0https://orcid.org/0000-0002-1734-5633Min-Seong Jang1https://orcid.org/0000-0003-3867-9736Kyung-Joon Park2https://orcid.org/0000-0003-4807-6461Department of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South KoreaDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South KoreaDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South KoreaIn vehicular cyber-physical systems, cars are connected to create a mobile network called a vehicular ad hoc network (VANET) to perform various functions, including improved awareness of the surrounding environment. Moving vehicles continually broadcast beacon signals containing information such as position, heading, acceleration, steering angle, vehicle size, and accident notification. However, channel congestion in dense traffic conditions adversely affects network performance. To resolve congestion in VANETs, several works in the literature have studied congestion control. However, they have considered packet loss only as an indication of channel congestion regardless of channel condition. In this paper, we present a channel-aware congestion control algorithm (CACC) that controls the transmission power and data rate. We take into account the received signal strength (RSS) when diagnosing packet loss to determine channel conditions, such as severe fading or channel congestion. In the case of severe fading, we decrease the data rate for a more robust modulation and coding scheme. Additionally, we adjust the transmission power to maintain a desirable packet error rate. Our simulation results show that CACC significantly outperforms other distributed congestion control algorithms by reducing the packet loss rate and increasing the packet delivery ratio.https://ieeexplore.ieee.org/document/9064507/Congestion controlchannel-aware protocolmobile cyber-physical systemspacket lossvehicular ad hoc networks |
| spellingShingle | Byeong-Moon Cho Min-Seong Jang Kyung-Joon Park Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems IEEE Access Congestion control channel-aware protocol mobile cyber-physical systems packet loss vehicular ad hoc networks |
| title | Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems |
| title_full | Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems |
| title_fullStr | Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems |
| title_full_unstemmed | Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems |
| title_short | Channel-Aware Congestion Control in Vehicular Cyber-Physical Systems |
| title_sort | channel aware congestion control in vehicular cyber physical systems |
| topic | Congestion control channel-aware protocol mobile cyber-physical systems packet loss vehicular ad hoc networks |
| url | https://ieeexplore.ieee.org/document/9064507/ |
| work_keys_str_mv | AT byeongmooncho channelawarecongestioncontrolinvehicularcyberphysicalsystems AT minseongjang channelawarecongestioncontrolinvehicularcyberphysicalsystems AT kyungjoonpark channelawarecongestioncontrolinvehicularcyberphysicalsystems |