Routing Protocol Performance Evaluation in Wireless Ad hoc Network

2013 ◽  
Vol 12 (22) ◽  
pp. 6595-6599
Author(s):  
M.H. Hsu ◽  
K.W. Su ◽  
C.J. Chang ◽  
C.Y. Chen ◽  
Chau-Yang Lai ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Wireless Ad Hoc Network ◽  
Protocol Performance

scholarly journals Performance Investigation of Routing Protocol with the velocity of 30 m/s for Random Mobility Model

2022 ◽  
Author(s):  
Ajay Kumar Vyas ◽  
Margam Suthar
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Wireless Ad Hoc Network ◽  
Delivery Ratio ◽  
Mobile Environment ◽  
Protocol Performance ◽  
Energy Limitation ◽  
The Impact

Abstract A mobile ad-hoc network (MANET) is a network of mobile nodes short of Infrastructure, linked by wireless links. While mobility is the key feature of MANETs, the frequent movement of nodes may lead to link failure. A mobile multi-hop wireless ad hoc network carries a dynamic structure feature, and each node has mobility; due to this, the network has altered topology change dynamically. Developing the wireless ad hoc network protocol is the major challenge because, compared to the wired routing node, all node is mobile, energy limitation, the node's physical location, and multicast routing. In this article, a comparative investigation of routing protocol performance for large wireless ad hoc networks (100 nodes) under the impact of the random mobile environment with the velocity of 30 m/sec for 1800 seconds with ten different results for each node-set. The comparative analysis includes packet delivery ratio, throughput, packet dropping ratio, routing overhead, and end-to-end delay quality of service (QoS) metrics. It concludes that Ad-hoc On-demand Distance Vector protocol performance is more stable as the number of nodes & traffic increase in the random mobility environment.

Comparison of Packet Delivery Fraction of On-demand Routing Protocol based on different Terrain-Area in MANET

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 38-41
Author(s):  
Hari Shankar Sahu ◽  
Rupanita Das
Keyword(s):  
Wireless Network ◽  
Routing Protocol ◽  
Rapid Growth ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Wireless Ad Hoc Network ◽  
Packet Delivery ◽  
On Demand ◽  
Telecommunication Technology ◽  
Demand Routing

Now a days telecommunication technology leads to a rapid growth of number of users, these number of users nothing but number of nodes in MANET.A wireless ad hoc network is a decentralized type of wireless network. The mobility of nodes effect on the performance of the network. Due to mobility of nodes the link breaks number of times which effect on the packet delivery. Therefore to analyze the performance, packet delivery fraction (PDF)can be used. This paper describe the packet delivery fraction of on demand routing protocol AODV and DSR on different terrain areas using GLOMOSIM.

scholarly journals WIT: A Wireless Integrated Traffic Model

2008 ◽  
Vol 4 (3) ◽  
pp. 219-235 ◽  
Author(s):  
Arta Doci ◽  
Fatos Xhafa
Keyword(s):  
Performance Evaluation ◽  
Ad Hoc Network ◽  
Network Performance ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Building Blocks ◽  
Performance Evaluations ◽  
Network Applications ◽  
Protocol Performance ◽  
Synthetic Models

Simulation is a common approach for designing ad hoc network applications, due to the slow deployment of these networks. The main building blocks of ad hoc network applications are the routing protocols, mobility, and traffic models. Several studies, which use synthetic models, show that mobility and traffic have a significant effect on protocol performance. Synthetic models do not realistically reflect the environment where the ad hoc networks will be deployed. In addition, mobility and traffic tools are designed independently of each other, however real trace data challenge that assumption. Indeed, recent protocol performance evaluation using real testbeds show that performance evaluations under real testbeds and simulations that use synthetic models differ significantly. In this paper we consider jointly both real mobility and traffic for protocol performance evaluation. The contributions of this work are as follows: (1) demonstrates that real mobility and traffic are interconnected; (2) announces the design and implementation of WIT –Wireless Integrated Traffic–, which includes the design of a real traffic generator; (3) shows that under real mobility and integrated traffic the performance metrics need to be re-thought, thus we propose availability as a new ad hoc network protocol performance metric; and, finally, (4) evaluates protocol performance under synthetic and real mobility models with integrated traffic. We believe that the results of our work constitute a step forward toward benchmarking of ad hoc network performance evaluations.

scholarly journals A new metric for routing in military wireless network

2014 ◽  
Vol 05 (02) ◽  
pp. 1450001
Author(s):  
Haibo Jiang ◽  
Yaofei Ma ◽  
Dongsheng Hong ◽  
Zhen Li
Keyword(s):  
Wireless Network ◽  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Transmission Delay ◽  
Wireless Ad Hoc Network ◽  
A Algorithm ◽  
Shortest Path Routing ◽  
Frequency Selection ◽  
Simulation Results

Wireless ad hoc network is generally employed in military and emergencies due to its flexibility and easy-to-use. It is suitable for military wireless network that has the characteristics of mobility and works effectively under severe environment and electromagnetic interfering conditions. However, military network cannot benefit from existing routing protocol directly; there exists quite many features which are only typical for military network. For example, there are several radios in the same vehicle. This paper presents a new metric for routing, which is employed in A* algorithm. The goal of the metric is to choose a route of less distance and less transmission delay between a source and a destination. Our metric is a function of the distance between the ends and the bandwidth over the link. Moreover, we take frequency selection into account since a node can work on multi-frequencies. This paper proposed the new metric, and experimented it based on A* algorithm. The simulation results show that this metric can find the optimal route which has less transmission delay compared to the shortest path routing.

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