EMM: an event-driven mobility model for generating movements of large numbers of mobile nodes

2005 ◽  
Vol 13 (4) ◽  
pp. 335-355 ◽  
Author(s):  
Yi-Chun Chang ◽  
Hsien-Chou Liao
Keyword(s):  
Mobility Model ◽  
Mobile Nodes ◽  
Large Numbers ◽  
Event Driven

The Robustness of RM-DSR Multipath Routing Protocol with Different Network Size in MANET

2013 ◽  
Vol 5 (2) ◽  
pp. 46-57
Author(s):  
Naseer Ali Husieen ◽  
Suhaidi Hassan ◽  
Osman Ghazali ◽  
Lelyzar Siregar
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobility Model ◽  
Network Size ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Mobile Nodes ◽  
Route Maintenance ◽  
Dynamic Source

This paper evaluates the performance of Reliable Multipath Dynamic Source Routing Protocol (RM-DSR) protocol with different network size compared to DSR protocol. RM-DSR developed in the mobile ad-hoc network to recover from the transient failure quickly and divert the data packets into a new route before the link is disconnected. The performance of RM-DSR protocol is tested in the Network Simulator (NS-2.34) under the random way point mobility model with varying number of mobile nodes. The network size parameter is used to investigate the robustness and the efficiency of RM-DSR protocol compared to DSR protocol. The network size affects the time of the route discovery process during the route establishment and the route maintenance process which could influence the overall performance of the routing protocol. The simulation results indicate that RM-DSR outperforms DSR in terms of the packet delivery ratio, routing overhead, end-to-end delay, normalized routing load and packet drop.

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 A Novel Group Mobility Model for Software Defined Future Mobile Networks

2021 ◽  
Author(s):  
Sureshkumar A ◽  
Surendran D
Keyword(s):  
Mobile Networks ◽  
Packet Loss ◽  
Transition Probabilities ◽  
Research Work ◽  
Mobility Model ◽  
Mathematical Framework ◽  
Mobile Nodes ◽  
Network Efficiency ◽  
Group Mobility ◽  
Signaling Cost

Abstract Nowadays, a massive amount of data leads to cause network traffic and inflexible mobility in future mobile networks. A new Group Mobility Model (GMM) named MoMo is introduced that addresses the issue of the aforementioned problems. Even though, software defined network (SDN) is functional with network-rooted mobility protocols that enhance the network efficiency. Some existing network-rooted mobility administration methods still undergo handover delay, packet loss, and high signaling cost through handover processing. In this research work, SDN-based fast handover for GMM is proposed. Here, the neighbor number of evolving node transition probabilities of the mobile node (MN) and their obtainable resource probabilities are estimated. This makes a mathematical framework to decide the preeminent number of the evolving nodes and then allot these to mobile nodes virtually with all associations finished by the exploit of Open-Flow tables. The performance examination demonstrates that the proposed SDN rooted GMM technique has the enhanced performance than the conventional handover process and further technique by handover latency, signaling cost, network throughput, and packet loss.

scholarly journals Changing Trends in Modeling Mobility

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Aarti Munjal ◽  
Tracy Camp ◽  
Nils Aschenbruck
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Human Mobility ◽  
Movement Patterns ◽  
Mobility Model ◽  
Opportunistic Networks ◽  
Mobility Patterns ◽  
Mobile Nodes ◽  
Changing Trends ◽  
Research Problems

A phenomenal increase in the number of wireless devices has led to the evolution of several interesting and challenging research problems in opportunistic networks. For example, the random waypoint mobility model, an early, popular effort to model mobility, involves generatingrandommovement patterns. Previous research efforts, however, validate that movement patterns are not random; instead, human mobility is predictable to some extent. Since the performance of a routing protocol in an opportunistic network is greatly improved if the movement patterns of mobile users can be somewhat predicted in advance, several research attempts have been made to understand human mobility. The solutions developed use our understanding of movement patterns to predict the future contact probability for mobile nodes. In this work, we summarize the changing trends in modeling human mobility asrandommovements to the current research efforts that model human walks in a more predictable manner. Mobility patterns significantly affect the performance of a routing protocol. Thus, the changing trend in modeling mobility has led to several changes in developing routing protocols for opportunistic networks. For example, the simplest opportunistic routing protocol forwards a received packet to a randomly selected neighbor. With predictable mobility, however, routing protocols can use the expected contact information between a pair of mobile nodes in making forwarding decisions. In this work, we also describe the previous and current research efforts in developing routing protocols for opportunistic networks.

Investigation of random waypoint and steady state random waypoint mobility models in NS-3 using AODV

2020 ◽  
Vol 26 (4) ◽  
pp. 267-274
Author(s):  
Alok Singh ◽  
Saurabh Sharma ◽  
Rajneesh K. Srivastava
Keyword(s):  
Steady State ◽  
Mobility Model ◽  
Transition Phase ◽  
Network Simulator ◽  
Mobility Models ◽  
Mobile Nodes ◽  
Warm Up ◽  
High Level ◽  
Simulation Time ◽  
Random Waypoint

NS-3 has been one of the popular network simulator software for many years especially in research related to Mobile Adhoc Networks (MANETs). In NS-3, there is provision of several mobility models including Random Waypoint (RWP) mobility model and Steady State Random Waypoint (SSRWP) mobility model. RWP mobility model suffers from the transition phase related imperfection. SSRWP mobility model overcomes this limitation of RWP mobility by allowing the steady state initialization states of nodes in terms of position, speed and pause time of mobile nodes right from the beginning of the simulation. As SSRWP mobility model avoids any requirement of warm-up (cut-off) phase of RWP mobility model, it saves a significant amount of time of warm-up (cut-off) phase as well as establishes a high level of confidence in results obtained due to absence of any subjective guess. In the present work, RWP and SSRWP mobility models have been investigated using AODV routing protocol and it has been found that a way to mitigate the misleading effect of the transition phase of RWP mobility model is to have a sufficiently large simulation time which results, to a good extent, in convergence of performance of RWP mobility model toward that of SSRWP mobility model.

scholarly journals GROUP MOBILITY MODEL BASED PROACTIVE AND REACTIVE ROUTING PROTOCOL IN MANET

2013 ◽  
pp. 190-195
Author(s):  
ANKUR PATEL ◽  
Shivendu Dubey ◽  
ASHOK VERMA ◽  
SHARDA PD. PATEL
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Dynamic Network ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Mobility Patterns ◽  
Mobile Nodes ◽  
Group Mobility ◽  
Manet Routing

A mobile ad hoc network (MANET) is a collection of wireless mobile nodes forming a dynamic network Topology without the aid of any existing network infrastructure or centralized administration. Each node participating in the network acts as a host and as a router , means they have to forward packets and identify route as well. Random way point is the most common mobility model in most of the simulation based studies of various MANET routing protocols.The Group Mobility Model has been generated by Impact of Mobility Patterns on Routing in Ad-hoc Network(IMPORTANT). In the present communication, we have analyzed the Packet Delivery Ratio (PDR), Average End to End delay, Average Throughput, Normalized Routing Load (NRL) and number of Drop packets in CBR and TCP traffic models using routing protocols namely AODV and DSDV. Research efforts have focused much in evaluating their performance with same number of nodes but divided in different number of groups. Simulations has been carried out using NS-2 simulator.

scholarly journals EVALUATION OF THE PERFORMANCE OF RE-AODV ROUTING PROTOCOL WITH DIFFERENT MOBILITY MODELS IN WIRELESS SENSOR NETWORKS

2021 ◽  
Vol 56 (5) ◽  
pp. 457-463
Author(s):  
Outazgui Saloua ◽  
Fakhri Youssef
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Mobility Model ◽  
Wireless Sensor ◽  
Handheld Devices ◽  
Mobility Models ◽  
Mobile Nodes ◽  
Network Efficiency ◽  
Aodv Routing Protocol

This paper aims to present a detailed study of different mobility models applicable for Wireless Sensor Networks (WSN). Wireless Sensor Networks (WSN) have evolved dramatically in mobile networks, providing the key advantage of offering access to information without considering a user's spatial and topological characteristics. Due to the exponential advancement of the Internet and the development of small handheld devices as a source of connectivity and data sharing, the wireless network has almost exploded over the past few years. As a routing protocol for WSN in different studies, the Ad-hoc On-demand Distance-vector routing protocol (AODV) has shown better performance than different routing protocols. It offers quick adaptation to dynamic link conditions, low processing, low memory overheads, and low network utilization. To develop an optimized routing protocol, in our previous work, we had proposed an enhancement of the AODV routing protocol to increase the performance of the classic AODV protocol by optimizing the energy consumption and automatically maximizing the network lifetime. In this paper, we present a detailed study of mobility models applicable for WSN. We describe various mobility models representing mobile nodes whose movements are independent (individual mobility models) and dependent (group mobility models). Furthermore, we will focus on studying the behavior of our optimized version of AODV that we named RE-AODV with different existing mobility models so that we can, in the end, select the best mobility model. In terms of network efficiency, simulation results in this Work demonstrate that the type of mobility model used makes the difference and influences the behavior of nodes.

Improved GPSR Routing Protocol in VANETs

2013 ◽  
Vol 336-338 ◽  
pp. 1877-1881
Author(s):  
Jian Yao ◽  
Hao You Peng ◽  
Tian Fu
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobility Model ◽  
Mobile Nodes ◽  
Greedy Forwarding ◽  
And Topology ◽  
Topology Changes ◽  
Hoc Networks

According to characteristics that the vehicles move fast and topology changes quickly in Vehicular Ad hoc Networks (VANETs), a novel routing protocol GMGP based on the location is proposed for VANETs. Predicting the changes of the neighboring nodes positions and using greedy forwarding mechanism forward packet, and using a movement perimeter forwarding algorithm to select the next reliable hop node on the basis of direction and velocity of the mobile nodes when the greedy forwarding fails, it improves the reliability of routing. When a more realistic vehicles mobility model is applied to the NS-2 simulation platform, the simulation indicates that the improved routing protocol has better performance than the GPSR routing protocol.

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