An Adaptive Multi-Channel Assignment and Coordination Scheme for IEEE 802.11P/1609.4 in Vehicular Ad-Hoc Networks

Vehicular ad-hoc networks (VANETs) have been developed to provide safety-related and commercial service applications on the road. The IEEE 1609.4 is a standard (legacy) designed to support multi-channels in VANETs, namely control channel (CCH) and service channels (SCHs) with fixed alternating CCH and SCH intervals. The CCH is dedicated to broadcast safety and control applications while SCHs are used to transfer service data applications. However, due to the nature of contention-based channel access scheme and the transmission of multiple applications over the CCH during a fixed interval, safety applications performance is degraded during CCH congestion in high network density scenarios. In this paper, we propose an adaptive multi-channel assignment and coordination (AMAC) scheme for the IEEE 802.11p/1609.4 in VANETs which exploits channel access scheduling and channel switching in a novel way. AMAC scheme includes an adaptive execution of the peer-to-peer negotiation phase between service providers and users for SCH resource reservations, and collision-aware packet transmission mechanisms. These two mechanisms alleviate collisions and increase packet delivery ratio (PDR) of safety applications on the CCH. Thereby, the AMAC scheme ensures an efficient and reliable quality of service (QoS) for different traffic flows and improves the time diversity among vehicles based on the traffic conditions. For performance analysis, analytical models are developed based on 1-D and 2-D Markov chain models taking into account an error-prone channels. The probabilities of successful transmission and collisions have been derived to compute PDR, and delay for safety packets in legacy standard and AMAC scheme. Analytical and simulation results indicate that the AMAC scheme reduces the collisions and increases the PDR for safety applications over the CCH compared with the legacy standard. In addition, AMAC scheme outperforms the legacy standard in terms of system throughput of service applications.

[1]  Victor C. M. Leung,et al.  Robust Energy-Efficient MIMO Transmission for Cognitive Vehicular Networks , 2016, IEEE Transactions on Vehicular Technology.

[2]  Zhengguo Sheng,et al.  An Adaptive Fusion Strategy for Distributed Information Estimation Over Cooperative Multi-Agent Networks , 2017, IEEE Transactions on Information Theory.

[3]  Aduwati Sali,et al.  An Accurate Performance Analysis of Hybrid Efficient and Reliable MAC Protocol in VANET under Non-saturated Conditions , 2017 .

[4]  L. Stibor,et al.  Congestion Control in Wireless Networks for Vehicular Safety Applications , 2022 .

[5]  Fred Daneshgaran,et al.  Unsaturated Throughput Analysis of IEEE 802.11 in Presence of Non Ideal Transmission Channel and Capture Effects , 2008, IEEE Transactions on Wireless Communications.

[6]  Aduwati Sali,et al.  A Comprehensive Performance Analysis of IEEE 802.11p based MAC for Vehicular Communications Under Non-saturated Conditions , 2017 .

[7]  D. Malone,et al.  Modeling the 802.11 Distributed Coordination Function in Nonsaturated Heterogeneous Conditions , 2007, IEEE/ACM Transactions on Networking.

[8]  S. Y. Wang,et al.  Improving the Channel Utilization of IEEE 802.11p/1609 Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[9]  Azlan Awang,et al.  Routing in Vehicular Ad-hoc Networks: A Survey on Single- and Cross-Layer Design Techniques, and Perspectives , 2017, IEEE Access.

[10]  Alagan Anpalagan,et al.  Optimizing the Control Channel Interval of the DSRC for Vehicular Safety Applications , 2016, IEEE Transactions on Vehicular Technology.

[11]  Weiwei Xia,et al.  An Adaptive Multi-Channel MAC Protocol with Dynamic Interval Division in Vehicular Environment , 2009, 2009 First International Conference on Information Science and Engineering.

[12]  Shie-Yuan Wang,et al.  A cooperative approach to fully utilizing the aggregate bandwidth of all service channels in IEEE 802.11p/1609 networks , 2013, 2013 IEEE Symposium on Computers and Communications (ISCC).

[13]  Antonella Molinaro,et al.  Enhancing IEEE 802.11p/WAVE to provide infotainment applications in VANETs , 2012, Ad Hoc Networks.

[14]  Rosdiadee Nordin,et al.  802.21-Assisted Distributed Mobility Management Solution in Vehicular Networks , 2017, IEEE Access.

[15]  Luciano Bononi,et al.  Dissemination of safety messages in IEEE 802.11p/WAVE vehicular network: Analytical study and protocol enhancements , 2014, Pervasive Mob. Comput..

[16]  C. Siva Ram Murthy,et al.  A novel context-aware variable interval MAC protocol to enhance event-driven message delivery in IEEE 802.11p/WAVE vehicular networks , 2015, Veh. Commun..

[17]  Bin Li,et al.  Saturation throughput analysis of multi-rate IEEE 802.11 wireless networks , 2009, Wirel. Commun. Mob. Comput..

[18]  Huirong Fu,et al.  A multi-priority supported medium access control in Vehicular Ad Hoc Networks , 2014, Comput. Commun..

[19]  Soamsiri Chantaraskul,et al.  Safety Communication Based Adaptive Multi-channel Assignment for VANETs , 2017, Wirel. Pers. Commun..

[20]  Weiwei Xia,et al.  Modelling and performance analysis of dynamic contention window scheme for periodic broadcast in vehicular ad hoc networks , 2015, IET Commun..

[21]  Krzysztof Szczypiorski,et al.  Saturation throughput analysis of IEEE 802.11g (ERP-OFDM) networks , 2008, PWC.

[22]  Huirong Fu,et al.  An IEEE 802.11p-Based Multichannel MAC Scheme With Channel Coordination for Vehicular Ad Hoc Networks , 2012, IEEE Transactions on Intelligent Transportation Systems.

[23]  Maria Kihl,et al.  Inter-vehicle communication systems: a survey , 2008, IEEE Communications Surveys & Tutorials.

[24]  Choong Seon Hong,et al.  An Efficient and Reliable MAC in VANETs , 2014, IEEE Communications Letters.

[25]  Shan Wang,et al.  A novel reliable broadcast protocol for VANET's safety applications , 2016, 2016 6th International Conference on Electronics Information and Emergency Communication (ICEIEC).

[27]  Rosdiadee Nordin,et al.  Fast handover solution for network-based distributed mobility management in intelligent transportation systems , 2017, Telecommun. Syst..

[28]  Samuel Pierre,et al.  Centralized and Localized Data Congestion Control Strategy for Vehicular Ad Hoc Networks Using a Machine Learning Clustering Algorithm , 2016, IEEE Transactions on Intelligent Transportation Systems.

[29]  Gongjun Yan,et al.  Enhancing VANET Performance by Joint Adaptation of Transmission Power and Contention Window Size , 2011, IEEE Transactions on Parallel and Distributed Systems.

[30]  Chao Yu,et al.  APDM: An adaptive multi-priority distributed multichannel MAC protocol for vehicular ad hoc networks in unsaturated conditions , 2017, Comput. Commun..

[31]  Wenhui Zhang,et al.  Car-2-Car Communication Consortium - Manifesto , 2007 .

[32]  Rahim Tafazolli,et al.  A Novel Distributed Asynchronous Multichannel MAC Scheme for Large-Scale Vehicular Ad Hoc Networks , 2012, IEEE Transactions on Vehicular Technology.