Performance Evaluation of Enhanced Manhattan Mobility Model Over GM, RWP, Manhattan Grid, SLAW, and TLW Mobility Models in MANETs

Autor: Kour Satveer, Singh Jagpal
Rok vydání: 2022
Předmět:
Zdroj: Recent Advances in Computer Science and Communications. 15
ISSN: 2666-2558
DOI: 10.2174/2666255814666210615143318
Popis: The mobility model is the basis of simulation experiments in the Mobile Ad-hoc Network. A composite model for mobility for city scenarios which includes a realistic model of obstacle avoidance, and movement in the vertical direction, is proposed. The comparison of its performance with those of other available mobility models is encouraging. We believe that it can upgrade the routing performance. Here, we discuss the synthetic mobility models (Gauss-Markov, Random Waypoint, Manhattan Grid), and trace-based mobility models (Truncated Levy Walk, Self-Similar Least Action Walk). Then we propose a new mobility model by replacing a speed calculating formula using Bonnmotion-3.0.1 on simulator NS2. The proposed mobility model, named Enhanced Manhattan Mobility Model, is compared with the existing Manhattan Grid mobility model in a tabulated form. AODV, DSR, and DSDV are analysed for above-mentioned mobility models against the proposed one. Furthermore, the accuracy of the best protocol over the best mobility model is investigated through Packet Delivery Ratio (PDR), throughput, average end-to-end delay, packet overhead, and packet drop rate performance metrics. Due to the smooth movements created by the proposed model, it shows an improvement of 1 percent to 7 percent in throughput, 0.8 percent to 1.7 percent in packet overhead, 1 percent to 7 percent in PDR, and 1 percent in dropped packets.
Databáze: OpenAIRE