Vertical Handover Decision Algorithm for Multimedia Streaming in VANET

Hassoune, Mustafa Ali; Maaza, Zoulikha Mekkakia; Senouci, Sidi‐Mohammed

doi:10.1007/s11277-017-4080-z

Cited by 11 publications

(4 citation statements)

References 44 publications

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“…Compute Source node location and velocity (C 0 [mth Slot], V 0 [mth slot]); (5) Deploy relay node at C 0 (m + 1); (6) if Update message of relay fails then (7) Pick another Relay node from pool U i ; T update (8) Update T update � t; (9) endif (10) elseif i ϵ [1, n] then (11) Get update message from source node U 0 ; (12) Compute C i [m + 1]; (13) Synchronize Trajectory along Source node ( 14) endif (15) end for BS reply to Ui with reserve slot for U0; (7) end if (8) else if U0 also Compute BS > RSSI threshold (9) U0 send vertical handover request through Ui (10) BS allocate resource to Uo on behalf of Ui (11) Confirmation sent to relay node Ui and source node U0 (12) U0 initiate authentication (13) BS responds to authentication (14) U0 send confirmation message to relay node (15) end if ALGORITHM 2: Vertical handover using cooperative relaying.…”

Section: Relay Selection and Deploymentmentioning

confidence: 99%

“…In the existing literature, significant attention has been given to the handover decision algorithms [12]. e work presented in [13] focused on the false handover initiation and ensured the true need for handover. In [14], the importance of finding the exact location of the base station for an effective handover process is emphasized to minimize failure and increase the success rate of the handover.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Haider

Gilani

Jamal

et al. 2022

Security and Communication Networks

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The real-time monitoring and autonomous decision making through unmanned aerial vehicles (UAVs) are the potential applications of future networks. Vertical handover in future networks is a mechanism to switch communication between different network access technologies like Wireless Local Area Network (WLAN), Worldwide Interoperability for Wireless Microwave Access (WiMAX), Third-Generation (3G), Fourth-Generation (4G), and Fifth-Generation (5G) mobile technologies. These technologies have significant importance in providing fast, reliable, and timely communication. However, during a vertical handover, an inadequate delay and packet loss can cause considerable disruption in maintaining communication sessions and results in intolerable end-to-end delay, disconnectivity, and poor packet delivery ratio. The proposed work addresses the vertical handover method in UAVs communication by designing a relay-based vertical handover technique. The relay UAVs is an assistant node, requiring an organized and intelligent deployment that assists in vertical handover and communication by minimizing the average packet loss and average delay from source to destination. Moreover, a multicriteria handover parameter triggering is used for seamless and more extended network coverage. Extensive simulations using S-shaped and U-shaped trajectories are designed and simulated for relay-based vertical handover performance evaluation. The results obtained show that our proposed relay-based handover method offers seamless connectivity and high-performance experienced during the vertical handover process. The extensive comparison with state-of-the-art techniques proves that the proposed method is better in terms of 18% handover success rate, 21% end-to-end delay, and 29% packet loss.

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Section: Relay Selection and Deploymentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Haider

Gilani

Jamal

et al. 2022

Security and Communication Networks

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show abstract

“…Ali Hassoun et al [27] proposed a VHDA algorithm by keeping the location of the vehicle, speed of the vehicle, and jitter as parameters. Simulated results have shown that VHDA algorithm outperforms the competitve approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Vertical Handover to NEMO Using Hybrid Cryptosystem

Reddicherla¹,

Rawat

Kumar³

et al. 2021

Security and Communication Networks

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To provide security to all pairs of nodes in network mobility (NEMO) while executing the handoff between different technologies, a hybrid cryptosystem with a suitable network selection mechanism is proposed. All pairs of nodes, i.e., Mobile Node (MN), Mobile Router (MR), Correspondent Node (CN) and MN, and Home Agent (HA), respectively, are considered. A proper security mechanism is proposed to provide confidentiality to Bound Update (BU) during handoff and conversation between MN, MR, and HA using the elliptic curve cryptography (ECC). In this solution, a network selection mechanism is proposed based on user preference and Received Signal Strength (RSS) in a heterogeneous network. The proposed model can protect the communication using security analysis from all NEMO standard attacks. Whenever NEMO moves, MR intimates to HA about the address change using (BU) and MR receives Binding Acknowledgement (BA) as a reply. During data (frame) exchange and registration between MN, CN, and HA, various security threats arise. In the earlier work, only the security solution is given, and the best network selection algorithm is not provided in a heterogeneous environment. Therefore, in this paper, the best network selection is contributed based on Received Signal Strength (RSS) and user preferences. A comparison of the proposed model is drawn with Return Routability Procedure (RRP). Authentication is provided for communication between MN and CN. The proof is derived using BAN logic. Many standard security attacks have been successfully avoided on all pairs of communications. It has been observed that the proposed model achieves 2.4854% better throughput than the existing models. Also, the proposed model reduces the handoff latency and packet loss by 2.7482% and 3.8274%, respectively.

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“…In 2017, a highway-based handover decision method was proposed to solve the unnecessary handovers and to reduce the vertical handover frequency by considering the nodes' velocity, jitter, position and density. In addition, it was also essential to evaluate the packet loss, network throughput and end-to-end delay to present a complete network performance [8].…”

Section: Previous Work On Vertical Handover In Vanetmentioning

confidence: 99%

Untitled

2019

IJWMN

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One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).2 selecting the best among them. Hence, the concept of mobility in a heterogeneous wireless network implies the continuation of data transmission or maintaining an ongoing session while the point of attachment changes during VHO. The VHO happens when a Mobile Node (MN) roams between different networks and change the device interface (physical layer) which leads to different direction of data session in the user side as well as the network attachment point in the network side (network layer).Our proposed schemes present a multi-criteria artificial bee colony hybrid with particle swarm optimisation algorithm for evaluating the information gathered from the mobile nodes in the handover. The algorithm will process and calculate the required handover timing for each node in advance, based on the mobile nodes' velocity and received signal strength to reduce the handover process latency. The information is used to support all vertical handover operations, which includes network discovery, handover decision, and handover implementation.In the initial stage of the operation, the previous Access Point (AP) provides information about the neighbouring networks for the MN to quickly discover available networks. The second stage of the operation is selecting the best available network for the MN by considering its velocity and distance. The final operation of the proposed scheme involves the mobile node sharing the current information with its neighbouring nodes based on its current location. The schemes run on realtime simulation based on three mobility scenarios in city environment which are highway, urban and traffic jam scenario.

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Vertical Handover Decision Algorithm for Multimedia Streaming in VANET

Cited by 11 publications

References 44 publications

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Secure Vertical Handover to NEMO Using Hybrid Cryptosystem

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