Mobi-sim: A simulation environment for mobile wireless sensors network

Mezghani, Omnia; Abdellaoui, Pr. Mahmoud

doi:10.1109/codit.2016.7593559

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…A city map of 4×4 km 2 comprising 9 intersections is used to make the experiments. The mobility of vehicles and UAVs is generated with VanetMobiSim mobility generator [12] and MobiSim mobility generator [13], respectively. TABLE II summarizes different parameter settings:…”

Section: A Simulation Setupmentioning

confidence: 99%

On-Demand Routing for Urban VANETs using Cooperating UAVs

Oubbati

Chaib

Lakas

et al. 2018

2018 International Conference on Smart Communications in Network Technologies (SaCoNeT)

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Vehicular ad hoc networks (VANETs) are characterized by frequent routing path failures due to the high mobility caused by the sudden changes of the direction of vehicles. The routing paths between two different vehicles should be established with this challenge in mind. Stability and connectedness are a mandatory condition to ensure a robust and reliable data delivery. The idea behind this work is to exploit a new reactive routing technique to provide regulated and well-connected routing paths. Unmanned Aerial Vehicles (UAVs) or what are referred to as drones can be both involved in the discovery process and be full members in these discovered paths in order to avoid possible disconnections on the ground when the network is sparsely connected. The different tests of this technique are performed based on NS-2 simulator and the outcomes are compared with those of related on-demand routing protocols dedicated for VANETs. Interesting results are distinguished showing a reduced end-to-end delay and a high delivery ratio, which proving that this heterogeneous communication between vehicles and UAVs is able to extend the network connectivity.

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Section: A Simulation Setupmentioning

confidence: 99%

On-Demand Routing for Urban VANETs using Cooperating UAVs

Oubbati

Chaib

Lakas

et al. 2018

2018 International Conference on Smart Communications in Network Technologies (SaCoNeT)

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show abstract

“…However, nowadays many applications such as the natural disaster prevention, complex environment supervision and medical supervision, etc, require the presence of mobile components in a WSN [1]. In fact, there are varieties of applications including mobile sensor nodes that should operate in all autonomy, collaborate together and transmit their data to the BS [2], [7]. Mobile sensors networks are characterized by a frequent topology change making more challenges for researchers [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Efficient Clustering Protocol Based on Stochastic Matrix & MCL and Data Routing for Mobile Wireless Sensors Network

Mezghani¹,

Abdellaoui²

2022

Int. j. commun. netw. inf. secur.

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In this paper, we have already presented a new approach for data routing dedicated to mobile Wireless Sensors Network (WSN) based on clustering. The proposed method is based on stochastic matrix and on the Markov Chain Cluster (MCL) algorithm to organize a large number of mobile sensors into clusters without defining the required clusters number in advance. It is based on mobile sensors connectivity to determinethe optimal number of clusters and to form compact and well separated clusters. Our proposed approach is a distributed method using nodes locations, degrees and theirs residual energies during the cluster head election. Simulation results showed that the proposed approach reduced the loss packets rate by 80%, the energy consumption by 30% and improved the data delivery rate by 70% compared to LEACH-M protocol. Moreover, it outperforms the E-MBC protocol and reduced the average energy consumption and loss packets rate by 60%; as well as it improved the success packets delivery rate by 40%.

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A Modified Technique Based on GOMASHIO Method for Mobile Nodes Localization in a WSN

Mezghani

2022

Intelligent Systems Design and Applications

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Mobi-sim: A simulation environment for mobile wireless sensors network

Cited by 5 publications

References 9 publications

On-Demand Routing for Urban VANETs using Cooperating UAVs

On-Demand Routing for Urban VANETs using Cooperating UAVs

Efficient Clustering Protocol Based on Stochastic Matrix & MCL and Data Routing for Mobile Wireless Sensors Network

A Modified Technique Based on GOMASHIO Method for Mobile Nodes Localization in a WSN

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