26 research outputs found

    FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic

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    Data traffic is the most important data transmission between users inside every network, these data traffic can be videos, files, voice, pictures, and many more, that divided into two types, real-time and non-real-time traffic. Most real-time traffic data has a low tolerance for the delay during transmission as they need to be fast received between communication devices. In this paper, a comprehensive analysis will be made to evaluate the two types of data transmitted through FANET drones, with different mobility models and two types of IEEE 802.11 2.4 GHz and 5 GHz by using OLSR routing protocol. Metrics such as delay and throughput will be measured. This paper gives an important overview of how real and non-real-time traffic will be handled during data transmission in FANET networks

    Study on QoS support in 802.11e-based multi-hop vehicular wireless ad hoc networks

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    Multimedia communications over vehicular ad hoc networks (VANET) will play an important role in the future intelligent transport system (ITS). QoS support for VANET therefore becomes an essential problem. In this paper, we first study the QoS performance in multi-hop VANET by using the standard IEEE 802.11e EDCA MAC and our proposed triple-constraint QoS routing protocol, Delay-Reliability-Hop (DeReHQ). In particular, we evaluate the DeReHQ protocol together with EDCA in highway and urban areas. Simulation results show that end-to-end delay performance can sometimes be achieved when both 802.11e EDCA and DeReHQ extended AODV are used. However, further studies on cross-layer optimization for QoS support in multi-hop environment are required

    An energy efficient position based Adaptive real-time routing protocol for WSNs

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    Devices for Wireless Sensor Networks (WSN) are limited by power and thus routing protocols should be designed with this constrain in mind. This paper presents and evaluates an Energy Efficient Position Based Adaptive Real-Time Routing protocol (EFPBARP) as a novel, real-time, position based and energy efficient routing protocol. EFPBARP is a lightweight protocol that reduces the number of nodes which receive the RF signal using a novel Parent Forwarding Region (PFR) algorithm. EFPBARP as a Geographical Routing Protocol (GRP) reduces the number of forwarding nodes and thus the traffic and packet collision in the network. A series of performance evaluations through Matlab and Omnet++ simulations show significant improvements in network performance parameters and total energy consumption over CTP and Directed Flooding Routing Protocol (DFRP)

    An Efficient Cluster-based Routing Protocol for Mobile Ad Hoc Networks

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    Clustering algorithm used in CBRP is a variation of simple lowest-ID clustering algorithm in which the node with a lowest ID among its neighbors is elected as the Cluster-head. Neglecting mobility and energy for selecting cluster-head is one of the weakness points of this protocol. In this paper the cluster formation algorithm is introduced, that uses the relative mobility metric, the residual energy and connectivity degree. After forming the cluster, whenever the cluster-head's energy is less than the aggregate energy of its member nodes, it remains as the cluster-head. Using NS-2 we evaluate rate of cluster-head changes, normalization routing overhead and packet delivery ratio. Comparisons denote that the proposed CBRP has better performances with respect to the original CBRP and Cross-CBRP

    Performance analysis of multilayer multicast MANET CRN based on steiner minimal tree algorithm

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    In this study, the multicast mobile ad hoc (MANET) CRN has been developed, which involves multi-hop and multilayer consideration and Steiner minimal tree (SMT) algorithm is employed as the router protocol. To enhance the network performance with regards to throughput and packet delivery rate (PDR), as channel assignment scheme, the probability of success (POS) is employed that accounts for the channel availability and the time needed for transmission when selecting the best channel from the numerous available channels for data transmission from the source to all destinations nodes effectively. Within Rayleigh fading channels under various network parameters, a comparison is done for the performance of SMT multicast (MANET) CRN with POS scheme versus maximum data rate (MDR), maximum average spectrum availability (MASA) and random channel assignment schemes. Based on the simulation results, the SMT multicast (MANET) CRN with POS scheme was seen to demonstrate the best performance versus other schemes. Also the results proved that the throughput and PDR performance are improved as the number the primary channels and the channel’s bandwidth increased while dropped as the value of packet size D increased. The network’s performance grew with rise in the value of idle probability (P_I) since the primary user’s (PU) traffic load is low when the value of P_I is high

    Game Theoretic Energy Balanced Routing Protocols For Wireless Sensor Networks

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    A primary concern in the operation of Wireless Sensor Network (WSN) is the issue of balancing energy consumption and lifetime maximization. This dissertation addresses the problem of unbalanced energy consumption in WSNs by designing traffic load balancing geographical routing protocols. In order to provide energy balance; two decentralized, scalable and stable routing protocols are proposed: Game Theoretic Energy Balanced (GTEB) routing protocol for WSNs and three dimensional (3D) Game Theoretic Energy Balance (3D-GTEB) routing protocol for WSNs. GTEB were designed to fit with WSNs deployed in 2D space, while 3D-GTEB designed to work with WSNs deployed in 3D terrain. Both protocols are built based on balancing energy consumption into region level and node level using different game theory in each level. In the first level, evolutionary game theory was used to balance the energy consumption in various packet forwarding sub-regions, while in the second level classical game theory was used to balance the energy consumption in forwarding sub-region nodes. 3D-GTEB benefits from utilizing the third coordinate of nodes\u27 locations to achieve better and accurate routing decision with low network overhead. The protocols where evaluated analytically and experimentally under realistic simulation environment. Thus, the results show not only combining evolutionary and classical game theories are applicable to WSNs, but also they achieve significantly better performance in terms of energy usage, load spreading, and packet delivery ratio under different network scenarios when compared to the state-of-art protocols. Moreover, further investigation is made to evaluate the effectiveness of using game theories by comparing GTEB with three random test protocols. The results demonstrated that the GTEB and 3D-GTEB are prolonged the network lifetime from 33% to 85%, and provided better delivery ratio form 26% to 52% as compared with other three random test protocols and three similar state-of-art routing algorithms
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