Performance analysis of cooperative ADHOC MAC for vehicular networks
Bibliographic record
Abstract
The paradigm of vehicular ad-hoc networks (VANETs) emerges as a promising approach to provide road safety, vehicle traffic management, and infotainment applications. Thus, it is important to develop a VANET medium access control (MAC) protocol that provides an efficient and reliable delivery of packets for diverse applications. Cooperative communication, on the other hand, can enhance the reliability of communication links in VANETs, thus mitigating wireless channel impairments due to a poor channel condition. Recently, a cooperative scheme for MAC in VANETs based on time-division multiple access, referred to as Cooperative ADHOC MAC (CAH-MAC), has been proposed [1]. CAH-MAC is an efficient protocol capable of increasing the network throughput by reducing the wastage of time slots. In CAH-MAC, neighboring nodes cooperate by utilizing the unreserved time slots, for retransmission of a packet which failed to reach its target receiver due to a poor channel condition. In this paper, we study the reliability of CAH-MAC in terms of packet transmission delay (PTD) and packet dropping rate (PDR). Through mathematical analysis and computer simulation, we show that CAH-MAC provides reliable communication by decreasing the PTD and PDR as compared with existing approaches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".