Analysis of 3-D Random Direction Mobility Model for Ad Hoc Network

2006 ◽  
Author(s):  
Wu Di ◽  
Zhu Xiaofeng ◽  
Wang Xin
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobility Model ◽  
Random Direction

A sighting-aware obstacle mobility model for ad hoc network

2013 ◽  
Vol 6 (4) ◽  
pp. 375
Author(s):  
Xiaohong Li ◽  
Shasha Zhou ◽  
Dong Wang
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobility Model

scholarly journals Link-state QoS routing protocol under various mobility models

2019 ◽  
Vol 16 (2) ◽  
pp. 906
Author(s):  
Safaa Laqtib ◽  
Khalid El Yassini ◽  
Moulay Lahcen Hasnaoui
Keyword(s):  
Steady State ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Mobility Models ◽  
Mobile Nodes ◽  
Link State ◽  
Random Waypoint

<p>Mobile Ad Hoc Network (MANET) consists of a group of mobile or wireless nodes that are placed randomly and dynamically that causes the continual change between nodes. A mobility model attempts to mimic the movement of real mobile nodes that change the speed and direction with time. The mobility model that accurately represents the characteristics of the mobile nodes in an ad hoc network is the key to examine whether a given protocol. The aim of this paper is to compare the performance of four different mobility models (i.e. Random Waypoint, Random Direction, Random walk, and Steady-State Random Waypoint) in MANET. These models were configured with Optimized Link State Routing (OLSR) protocol under three QoS (Quality of Service) <a title="Learn more about Metrics" href="https://www.sciencedirect.com/topics/engineering/metrics">metrics</a> such as the Packet Delivery Ratio (PDR), Throughput, End-to-End delay. The simulation results show the effectiveness of Steady-State Random Waypoint Mobility Models and encourage further investigations to extend it in order to guarantee other QoS requirements.</p>

scholarly journals Congestion aware overlay network

2021 ◽  
Author(s):  
Md. Moinuddin Bhuiyan
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Fundamental Problem ◽  
Mobility Model ◽  
Packet Losses ◽  
Key Characteristics ◽  
Wireless Medium ◽  
Mobile Ad Hoc ◽  
The Impact

Advances in wireless technology and mobile computing have provided a major impetus towards development of P2P network over MANET. Both peer-to-peer overlays and mobile ad-hoc network share the key characteristics of self-organizing and decentralization; both need to solve same fundamental problem, that is, how to route queries or packets efficiently. Congestion affecting the performance of P2P overlay on wireless ad-hoc network occurs not only due to buffer overflow but also due to error prone nature of the wireless medium used and the mobility of users. When paths of multiple downloading sessions intersect with each other, they mutually cause congestion for each other that result in packet drops. We identified that P2P MANET suffers query performance primarily due to significant congestion during download session. The unawareness of congestion in P2P MANET system may lead to the longer user response time, high overhead and many packet losses. In order to alleviate the congestion problem, we propose a modification to RAON, CANON, which includes congestion awareness for improving the RAON performance. We evaluated our system through simulation, which shows that CAON improves the performance of query success rate, query delay, packet losses significantly. We also evaluated the impact of mobility model on our system by simulating under both Random way point mobility model and Manhattan mobility model.

Mobility and Traffic Model Analysis for Vehicular Ad-hoc Networks

2010 ◽  
pp. 214-232
Author(s):  
Shrirang Ambaji Kulkarni ◽  
G. Raghavendra Rao
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc Network ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobility Model ◽  
Vehicular Ad Hoc Network ◽  
Traffic Model ◽  
Mobility Models ◽  
Hoc Networks

Vehicular Ad Hoc Networks represent a specialized application of Mobile Ad Hoc Networks. Here the mobile nodes move in lanes and their mobility can be modeled based on realistic traffic scenarios. To meet the above challenge the goal of defining the mobility model for vehicular ad hoc network along with a realistic traffic pattern is an important research area. Vehicular mobility is characterized by acceleration, deceleration, possibility of different lanes and intelligent driving patterns. Also a modeling of traffic is necessary to evaluate a vehicular ad hoc network in a highway environment. The traffic model has to take into account the driver behavior in order to take decisions of when to overtake, change lanes, accelerate and decelerate. To overcome the limitation of traditional mobility models and mimic traffic models, many traffic model based simulators like CORSIM, PARAMICS and MOVE have been proposed. In this chapter we provide taxonomy of mobility models and analyze their implications. To study the impact of mobility model on routing protocol for vehicular motion of nodes we analyze the performance of mobility models with suitable metrics and study their correlation with routing protocol. We also discuss the fundamentals of traffic engineering and provide an insight into traffic dynamics with the Intelligent Driver Model along with its lane changing behavior.

Performance Evaluation of AODV and DSR Routing Protocols for Flying Ad hoc Network using Highway Mobility Model

2021 ◽  
pp. 2250008
Author(s):  
Sunil Kr Maakar ◽  
Manju Khurana ◽  
Chinmay Chakraborty ◽  
Deepak Sinwar ◽  
Durgesh Srivastava
Keyword(s):  
Performance Evaluation ◽  
Routing Protocols ◽  
Information Exchange ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Traffic Monitoring ◽  
Mobility Model ◽  
Traffic Surveillance ◽  
On Demand

The Flying Ad hoc Network (FANET) is a special type of mobile ad hoc network (MANET) that provides communications among Unmanned Aerial Vehicles (UAVs). These UAVs can reduce human intervention to a great extent by giving numerous applications under different domains such as transportation, military, healthcare, traffic monitoring, surveillance, etc. In FANET, communication is relatively challenging due to its complex infrastructure, unspecified architecture and rapid mobility of nodes. The work embodied in this paper is focused on traffic surveillance of highways using UAVs. UAVs can help to reduce the number of accidents by sharing real-time as well as the accurate status of highways among vehicles and the control station. On the other hand, they can also be used to track specific vehicles on the road. In FANET, both routing protocols and mobility models play a crucial role in the process of information exchange. In this paper, the comparison and performance evaluation of two well-known reactive routing protocols viz. Ad hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR) have been carried out using highway mobility model for traffic surveillance in FANET environment. Implementation of both protocols has been tested on several traffic patterns, mobility and varying network loads. Both AODV and DSR enable significant performance variations; however, they share on-demand behavior. Packet delivery fraction, average end-to-end delay, normalized routing load, packet loss, routing overhead and throughput are used to analyze the performance of both protocols. Based on experimental analysis using NS-2 under constant bit rate (CBR) and TCP traffic sources, it can be stated that AODV outperforms DSR in almost every aspect.

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