Introduction to Network Simulator 2 (NS2)

Issariyakul, Teerawat; Hossain, Ekram

doi:10.1007/978-1-4614-1406-3_2

Cited by 315 publications

(28 citation statements)

References 1 publication

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“…To assess the performance of DSR protocol with different mobility model .we have implemented them within the version 2.24 of the ns2 [17] network simulator. The performance analysis for these simulations was conducted by using the discrete-event simulator, NS2.…”

Section: Simulation Resultsmentioning

confidence: 99%

A proportional analysis of dissimilar Mobility Models in Ad- hoc Sensor Network over DSR Protocol

Vasanthi¹,

Hemalatha²

2012

IJCA

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With the current advances like wireless networks is becoming most useful technology is increasing popularity. Simulation is the technique which is used for evaluation of wireless networks. There is numerous number of Network Simulator's available. Here we are using NS2 simulation tool is used to find that which mobility model is best for real-life Scenarios. The Mobility model gives information like movement of nodes and how it works with the protocol and connectivity of nodes in an excellent manner. In this paper we are analyzing the mobility model which is best in incorporate more Realistic mobility model. We are taken four different mobility model in different models like entity models (Manhattan model and gauss markov model) and group mobility model (Reference Point Group Model) and Random Waypoint mobility model. Random waypoint is used as a default mobility model in many network simulations. Our comparative analysis for the mobility models which is existing mobility models are discussed on a variety of simulation settings and parameters to find these results are as follows Control Overhead, Generated packets and Received packets.

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Section: Simulation Resultsmentioning

confidence: 99%

A proportional analysis of dissimilar Mobility Models in Ad- hoc Sensor Network over DSR Protocol

Vasanthi¹,

Hemalatha²

2012

IJCA

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“…NS2 [34], a discrete event simulator is used for the implementation of the proposed protocol and performance evaluation. Table 3 shows the simulation parameters and configuration in NS2.…”

Section: Simulation Parameters and Configurationmentioning

confidence: 99%

A Novel Hybrid Opportunistic Scalable Energy Efficient Routing Design for Low Power, Lossy Wireless Sensor Networks

Thyagarajan¹,

Suganthi²

2019

IJCNC

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Opportunistic Routing (OR) scheme increases the transmission reliability despite the lossy wireless radio links by exploiting the broadcast nature of the wireless medium. However, OR schemes in low power Wireless Sensor Network (WSN) leads to energy drain in constrained sensor nodes due to constant overhearing, periodic beaconing for Neighbourhood Management (NM) and increase in packet header length to append priority wise sorted Forwarding Candidates Set (FCS) prior to data transmission. The timer-based coordination mechanism incurs the least overhead to coordinate among the FCS that has successfully received the data packet for relaying the data in a multi-hop manner. This timer-based mechanism suffers from duplicate transmissions if the FCS is either not carefully selected or coordinated. The focus of this work is to propose a hybrid opportunistic energy efficient routing design for large scale, low power and lossy WSN. This design avoids periodic 'hello' beacons for NM, limits constant overhearing and increase in packet header length. There are two modes of operation i) opportunistic ii) unicast mode. The sender node adopts opportunistic forwarding for its initial data packet transmission and instead of pre-computing the FCS, it is dynamically computed in a completely distributed manner. The eligible nodes to be part of FCS will be neighbour nodes at lower corona level than the sender with respect to the sink and remaining energy above the minimum threshold. The nodes part of FCS based on crosslayered multi-metrics and fuzzy decision logic determines its priority level to compute Dynamic Holding Delay (DHD) for effective timer coordination. The differentiated back off implementation along with DHD enables the higher priority candidate that had received data packet to forward the packet first and facilitates others to cancel its timer upon overhearing. The sender node switches to unicast mode of forwarding for successive transmissions by choosing the forwarding node with maximum trust value as it denotes the stability of the temporally varying link with respect to the forwarder. The sender node will revert to opportunistic mode to increase transmission reliability in case of link-level transmission error or no trustworthy forwarders. Simulation results in NS2 show significant increase in Packet Delivery Ratio (PDR),decrease in both average energy consumption per node and Normalized Energy Consumption (NEC) per packet in comparison with existing protocols.

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“…Network Simulator 2 [34] or simulators for specific systems, that can be used for trace-driven simulations of IPTV, Mobile TV applications, or others. The only requirement for the transmission simulator is adaptability to the interfaces of the encoding and evaluation modules.…”

Section: Average Packet Loss Ratementioning

confidence: 99%

Packet level video quality evaluation of extensive H.264/AVC and SVC transmission simulation

Skupin

Hellge

Schierl

et al. 2011

J Internet Serv Appl

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Video transmission over error prone channels as present in most of today's communication channels, such as Mobile TV or some IPTV systems, is constantly subject to research. Simulation is an important instrument to evaluate performance of the overall video transmission system, but the multitude of parameters often requires large and time-consuming simulation sets. In this paper, we present a packet level mechanism for fast evaluation of error-prone H.264/AVC and SVC video transmission with application layer video quality metrics, such as PSNR. Our approach significantly reduces the overall simulation time by eliminating redundancy in the evaluation phase and utilizing the prediction structure of the video codec. The benefit of the presented packet level video quality evaluation is evaluated with an exemplary simulation setup of an IPTV service with link congestion

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Introduction to Network Simulator 2 (NS2)

Cited by 315 publications

References 1 publication

A proportional analysis of dissimilar Mobility Models in Ad- hoc Sensor Network over DSR Protocol

A proportional analysis of dissimilar Mobility Models in Ad- hoc Sensor Network over DSR Protocol

A Novel Hybrid Opportunistic Scalable Energy Efficient Routing Design for Low Power, Lossy Wireless Sensor Networks

Packet level video quality evaluation of extensive H.264/AVC and SVC transmission simulation

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