Impact of Dynamic Path Loss Models in an Urban Obstacle Aware Ad Hoc Network Environment

Amjad, Kashif; Ali, Muhammad; Jabbar, Sohail; Hussain, Majid; Rho, Seungmin; Kim, Mucheol

doi:10.1155/2015/286270

Cited by 15 publications

(7 citation statements)

References 21 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main difference is that they have worked on security by using AODV (reactive protocol), while our research work is to check propagation models impact of sparse and dense environments. Amjad et al (2015) featured the significance of the physical layer and its effect on arrange execution in Mobile Ad Hoc Networks (MANETs). This was shown by reproducing different MANET situations utilizing Network Simulator-2 (NS-2) with improved capacity by including engendering misfortune models (e.g., adjusted Two-Ray Ground model, ITU Line of Sight and Nonline of Sight (ITU-LoS and NLoS) model into road gullies and consolidated way misfortune and shadowing model (C-Shadowing)).…”

Section: Literature Reviewmentioning

confidence: 99%

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Hussain

Khan

2021

Preprint

View full text Add to dashboard Cite

Mobile Ad-hoc Network (MANET) is the most emerging and fast expanding technology since the last two decades. One of the major issue and challenging area in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The exchange of information from source to a destination is known as the process of routing. Spectacular amount of attention has been paid by researchers to reliable routing in ad-hoc networks. Efficiency and accuracy of a protocol depends on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at receiver is the responsibility of a propagation model while mobility of nodes is responsible for topology of the network. A huge amount of loss in performance is occurred due to variation of signal strength at receiver and obstacles between transmissions. Simulation tools are developed to analyze the weakness and strength of protocols along with different parameters that may impact the performance. The choice of a propagation models have an abundant effect on performance on routing protocols in MANET. In this research, it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average Throughput, average packet drop and average latency. The results predicted that propagation models and mobility has a strong impact on the performance of OLSR in considered scenarios.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Hussain

Khan

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In [12], multipath propagation effects predicted the wireless channel characteristics using the 2-ray or 3-ray simulation analysis based on the ray tracing mechanism in the time or frequency domain. In [13][14][15], various propagation models such as 2ray ground pathloss model, ITU-R street canyon model, and combined pathloss and shadowing model were used to evaluate the impact on system performance in mobile networks. In addition to this, the use of any propagation model has a significant impact on the performance of the wireless communication network [16].…”

Section: Introductionmentioning

confidence: 99%

Site Prediction Model for the over Rooftop Path in a Suburban Environment at Millimeter Wave

Yoon

Kim

Chong

2019

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

This paper proposes the site-specific pathloss model for a small town in a suburban environment at millimeter wave. Also, the site general characteristics are provided in the entire measurement area of the small town. The proposed pathloss model is based on the moving measurement campaign according to the distance between a transmitter and a receiver in the candidate millimeter wave band or future five-generation service. In addition, the probability characteristics of pathloss such as the cumulative density function are shown to estimate the spreading characteristics of the wideband signal with a five-hundred-MHz bandwidth. Measurement was performed for the small town in a suburban covered with low-rise commercial restaurants or houses. Transmitting signals propagate through the over rooftop of low-rise houses of average ten meters height. Their multipath signals may be arrived at a receiving station located at the below roof of the house by reflection, diffraction, and scattered mechanism. A current propagation model for the over rooftop is based on generic or geometrical optic equations in a fully non-line-of-sight environment. But, non-line-of-sight cases in a realistic suburban environment include partly the open space between houses. Therefore, the definition of the propagation model of this sight-specific case is very important so clearly as to show the difference for the over rooftop according to the different displacements of houses in a non-line-of-sight environment. Finally, we suggest the improved propagation model of pathloss that can reflect various environments in a small town.

show abstract

“…The infrastructure system is associated with covering a lid (one computer) to another sink. In any case, Infrastructure-less has no stable routers, each node may be like a router [5]. All nodes are armed for progress and can be progressively linked in a discretionary manner.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of DSR and AODV Routing Protocols for Soft Delay Deadlines in Wireless Multimedia Sensor Network

Sarwat¹,

Tahir²,

Awan³

et al. 2018

Pakistan Journal of Engineering, Technology & Science

View full text Add to dashboard Cite

Wireless Multimedia Sensor Network (WMSN) is a collection of the vast amount of different types of sensors like camera sensor, video and scalar sensors which are involved in retrieving multimedia data from the large environment. The real-time sending of video and audio content to the destination before a strict playout deadline has been necessary for multimedia environment. Otherwise, it will be dropped at the destination. In WMSN sending real time multimedia data with soft play deadlines is a challenging task to solve this challenge, routing protocols play an important role in WMSN. Routing demands of multimedia content of WMSNs need to be perfect routing protocols to optimize path selection and guarantee communication. This paper presents a performance comparison between two reactive routing protocols; namely AODV and DSR, with soft delay deadlines and efficient utilization of resources in WMSN. The objective is to assess the real-time behavior of these two protocols upon sending multimedia content. Here, we evaluate the performance with respect to the use of these matrices like latency, Average jitter, Average delay and throughput and factors includes are CBR and multimedia traffic with varying packet size and bandwidth. DSR perform better as compared to AODV routing protocol since it discovers the routes more efficiently. AODV is better in term of Jitter than DSR. NS-2 simulator tool used for the purpose of this comparison.

show abstract

Impact of Dynamic Path Loss Models in an Urban Obstacle Aware Ad Hoc Network Environment

Cited by 15 publications

References 21 publications

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Site Prediction Model for the over Rooftop Path in a Suburban Environment at Millimeter Wave

Performance Comparison of DSR and AODV Routing Protocols for Soft Delay Deadlines in Wireless Multimedia Sensor Network

Contact Info

Product

Resources

About