@inproceedings{scholars9851, note = {cited By 2; Conference of 4th International Conference on Computer and Information Sciences, ICCOINS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:141665}, doi = {10.1109/ICCOINS.2018.8510608}, year = {2018}, title = {Single-hop Packet Delivery Rate in V2V Safety Communications for Worst-case Highway Scenarios}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, journal = {2018 4th International Conference on Computer and Information Sciences: Revolutionising Digital Landscape for Sustainable Smart Society, ICCOINS 2018 - Proceedings}, author = {Mughal, B. M. and Tang Jung, L. and Wagan, A. A.}, isbn = {9781538647431}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057121724&doi=10.1109\%2fICCOINS.2018.8510608&partnerID=40&md5=6a5120940327a336555068c15471964a}, keywords = {Power control; Quality of service; Vehicles, Communication mechanisms; Extensive simulations; Packet Delivery; Quality of Service parameters; Safety communications; Transmission power control; V2V communications; VANET, Vehicle to vehicle communications}, abstract = {Ensuring maximum data packet delivery rate is crucial in the vehicle-to-vehicle (V2V) safety (broadcast) communication. The highly dynamic topology of vehicles on the road makes it difficult to appropriately quantify different quality of service parameters e.g. packet delivery rate. High packet delivery rate is difficult to achieve in periodic safety communications with broadcast as the default communication mechanism. A handful of transmission power control and beacon generation control methods have been proposed by researchers to enhance packet delivery in V2V communications. These methods however were lacking in the focus on realistic worst-case scenarios. In this paper, optimal combinations of transmission range and beacon generation interval are presented in the context of different packet delivery rates for worst-case scenarios. As such, the effectiveness of this approach was measured through extensive simulations based on the realistic worst-case scenarios on a highway. {\^A}{\copyright} 2018 IEEE.} }