Performance analysis of proactive and reactive protocol under different mobility models for MANET

J, Rangaraj; Mariappan, Anitha

doi:10.1109/i-smac.2017.8058257

Cited by 9 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…When the movement models created , they display a brief period so awareness of first seconds skirt is necessary because they don't present the properties needed from the mobility model needed, the places and movements of the nodes of each simulation and even the movement among them are randomly chosen. BM is responsible for the random properties of the place and movements of the nodes and for the traffic ns-2.35 random factors utilized, (16).…”

Section: Bonn Motion(bm)mentioning

confidence: 99%

Performance Evaluation of Mobility Models over UDP Traffic Pattern for MANET Using NS-2

Albu-Salih

Abbas

2021

Baghdad Sci.J

View full text Add to dashboard Cite

The current study presents the simulative study and evaluation of MANET mobility models over UDP traffic pattern to determine the effects of this traffic pattern on mobility models in MANET which is implemented in NS-2.35 according to various performance metri (Throughput, AED (Average End-2-end Delay), drop packets, NRL (Normalize Routing Load) and PDF (Packet Delivery Fraction)) with various parameters such as different velocities, different environment areas, different number of nodes, different traffic rates, different traffic sources, different pause times and different simulation times . A routing protocol.…was exploited AODV(Adhoc On demand Distance Vector) and RWP (Random Waypoint), GMM (Gauss Markov Model), RPGM (Reference Point Group Model) and MGM (Manhattan Grid Model) mobility models above CBR traffic sources. The results of Reference Point Group Model simulation illuminate that routing protocol performance is best with RPG mobility model than other models.

show abstract

Section: Bonn Motion(bm)mentioning

confidence: 99%

Performance Evaluation of Mobility Models over UDP Traffic Pattern for MANET Using NS-2

Albu-Salih

Abbas

2021

Baghdad Sci.J

View full text Add to dashboard Cite

show abstract

“…The two-ray ground model is very accurate in estimating signal strength in large area scales. The selection of random waypoint mobility model based on moving nodes with direction and speed randomly to reach the destination node [28]. The area of simulation used is 1000 meters x 1000 meters with the random waypoint model.…”

Section: Design Of Simulationmentioning

confidence: 99%

MPR selection to the OLSR quality of service in MANET using minmax algorithm

Alamsyah¹,

Purnama²,

Setijadi³

et al. 2019

IJECE

View full text Add to dashboard Cite

Optimized link state routing (OLSR) is a routing protocol that has a small delay, low traffic control, support the application of denser networks, and adopts the concept of multipoint relays (MPR). The problem of OLSR is routing table updating which continually causes excessive packet delivery, and energy consumption becomes increased. This article proposes the improvement of OLSR performance using the min-max algorithm based on the quality of service (QoS) with considering the density of the node. The Min-max algorithm works in selecting MPR nodes based on the largest signal range. The QoS parameters analyzed with a different number of nodes are packet delivery ratio (PDR), throughput, delay, energy consumption, and topology control (TC). Simulation result of network simulator version 2 (NS-2) shows that OLSR performance using the min-max algorithm can increase PDR of 91.17%, packet loss of 60.77% and reduce topology control packet of 8.07%, energy consumption of 16.82% compared with standard OLSR.

show abstract

“…In order to reduce overhead and live up to the human mobility pattern, [42] proposed a routing protocol which only delivered messages to the devices that were expected to forward them to the destinations. Meanwhile, [43] and [44] both took the mobility into consideration when designing their IIoT routing mechanisms. However, [43] focused on researching the end-to-end routing for mobility management, while [44] focused on performance analysis under different mobility models.…”

Section: B Iiot Routing With Mobilitymentioning

confidence: 99%

A Mobility-Supported Routing Mechanism in Industrial IoT Networks

et al. 2019

View full text Add to dashboard Cite

Nowadays, the Industrial Internet of Things (IIoT) has emerged as a promising paradigm for the future network, which intends to connect all kinds of objects, including smart home equipment and intelligent drive devices. Despite the fact that IIoT routing has already attracted a lot of attention from both academia and industry, current researches on IIoT routing cannot effectively solve the mobility problem in a self-adaptive and self-organized manner, because the number of IIoT devices connected is extremely large, and mobility is a very important feature of these IIoT devices. In this paper, a novel routing mechanism based on probability calculation and segment routing is proposed to solve the mobility and scalability problem in IIoT routing. On the one hand, probability calculation can address the extremely unbalanced load condition caused by mobility by forwarding packets to different routings with a certain probability. On the other hand, segment routing enables scalability and flexibility for packet forwarding, and it can also be used to bypass the overloaded links, thus to achieve load balance. Finally, the simulation results indicate that the proposed mechanism not only solves the mobility problem effectively but also achieves a better performance in many aspects.

show abstract

Performance analysis of proactive and reactive protocol under different mobility models for MANET

Cited by 9 publications

References 10 publications

Performance Evaluation of Mobility Models over UDP Traffic Pattern for MANET Using NS-2

Performance Evaluation of Mobility Models over UDP Traffic Pattern for MANET Using NS-2

MPR selection to the OLSR quality of service in MANET using minmax algorithm

A Mobility-Supported Routing Mechanism in Industrial IoT Networks

Contact Info

Product

Resources

About