Service-Adaptive Fuzzy Multi Criteria Based Intelligent Vertical Handover Decision Algorithm for Heterogeneous Wireless Networks

Narayanan, V. Anantha; Rajeswari, A.; Sureshkumar, V.

doi:10.1007/978-81-322-2126-5_33

Cited by 4 publications

(3 citation statements)

References 9 publications

(8 reference statements)

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“…As soon as the proposed algorithms forecast the candidate network for the MN to handoff, the buffered packets are sent to the Mobile Node and the ongoing packets are rerouted to the newly attached network and then to the MN via the NSMAG. The proposed algorithms have less packet loss when compared with existing algorithms [22]. Furthermore, as the NPB in the double buffer mechanism stores the data packets with sequence numbers, the buffered packets will be retransmitted after handover in the exact sequence, and thus, the proposed model solves the issues of out-of-sequence delivery of packets.…”

Section: Packet Lossmentioning

confidence: 99%

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Prithiviraj¹,

Maheswari²,

Balamurugan³

et al. 2022

Computers, Materials &Amp; Continua

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Despite the seemingly exponential growth of mobile and wireless communication, this same technology aims to offer uninterrupted access to different wireless systems like Radio Communication, Bluetooth, and Wi-Fi to achieve better network connection which in turn gives the best quality of service (QoS). Many analysts have established many handover decision systems (HDS) to enable assured continuous mobility between various radio access technologies. Unbroken mobility is one of the most significant problems considered in wireless communication networks. Each application needs a distinct QoS, so the network choice may shift appropriately. To achieve this objective and to choose the finest networks, it is important to select a best decision making algorithm that chooses the most effective network for every application that the user requires, dependent on QoS measures. Therefore, the main goal of the proposed system is to provide an enhanced vertical handover (VHO) decision making program by using a Multi-Criteria Fuzzy-Based algorithm to choose the best network. Enhanced Multi-Criteria algorithms and a Fuzzy-Based algorithm is implemented successfully for optimal network selection and also to minimize the probability of false handover. Furthermore, a double packet buffer is utilized to decrease the packet loss by 1.5% and to reduce the number of handovers up to 50% compared to the existing systems. In addition, the network setup has an optimized mobility management system to supervise the movement of the mobile nodes.

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Section: Packet Lossmentioning

confidence: 99%

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Prithiviraj¹,

Maheswari²,

Balamurugan³

et al. 2022

Computers, Materials &Amp; Continua

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“…The proposed model Adaptive Reinforcement Learning based Spider Monkey Optimization (ARLSMO) method is used to provide interference-free communication more efficiently than the existing MOSMO [19] Flock-CC [20]. The ARLSMO approach was utilized for providing scheduled pack delivery enabling energy-efficient multiple-path Routing that retrieves the previous routing information of the entire WSN network.…”

Section: Comparison Analysismentioning

confidence: 99%

An Optimized Reinforcement Learning-Based Routing Protocol Using Spider Monkey Optimization Algorithm

Radhika,

Radhika

2023

J. Phys.: Conf. Ser.

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In Wireless Sensor Networks, numerous machine-learning algorithms are used in the packet routing strategy. The recommended routing approach is implemented using adaptive reinforcement learning and a spider monkey optimization algorithm. Data packets are sent over the network via optimum route establishment—the above attempts to save energy by changing the Q-value at each instance. Technology enables adaptive mechanisms to demonstrate intelligent behavior in complex and dynamic situations such as Wireless Sensor Networks (WSN). Recently, new routing methods for WSNs have been devised in response to such a notion. Due to user interference and overall network performance, the numerous routing pathways cause frequent channel-switching occurrences. The spider monkey optimization method obtains routing metrics such as bandwidth, end-to-end latency, throughput, overhead, and packet delivery ratio. Compared to other machine learning algorithms, such as RLBR, the performance of WSN is improved and obtained better performance results.

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“…There is also a rising significance in cellular and wireless LAN Network Integration (WLAN). Universal Mobile Telecommunications System (UMTS) [12,20,41], otherwise known as cellular network 3G, is capable to afford dissimilar services (voice and data services) on their individual. Conversely, because of the bandwidth limited radio, and the network cannot contain a huge number of users at on one occasion, particularly for application that necessitate fast data transport rate.…”

Section: Related Workmentioning

confidence: 99%

Statistical Quality of Service to Increase Qos/Qoe of IP-Based Gateway for Integrating Heterogeneous Wireless Devices

Arivanantham¹,

Ramakrishnan²

2016

ijacsa

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Abstract-In broadcast service area above communications supported cellular wireless networks, data is communicated to several addressees from a right of entry point/base station. Multicast significantly progresses the network effectiveness to dispense data to multiple addressees as associated to multiple unicast gatherings of the similar data to each receiver independently, by taking improvement of the communal nature of the wireless intermediate. These algorithms need to be intended to be responsible for the essential Quality of Service (QoS) towards an extensive assortment of applications while permitting seamless roaming between multitudes of access network technologies. This paper proposed a cellular-aided mobile ad hoc network (CAMA) structural design, in which a CAMA representative in the cellular network accomplishes the control data, while the data is transported over the mobile terminals (MTs). The routing and security info is substituted among MTs and the negotiator over cellular radio channels. A location centered routing protocol, the multi-selection greedy positioning routing (MSGPR) protocol, is projected. This novel feature makes it more appropriate in the actual world. In accumulation, dynamic new call blocking possibility is initially familiarized to make handoff decision for wireless networks. This paper proposes a novel technique to afford QoS sustenance by means of an assistant network to recuperate the failure of multicast data in the major network. A wireless device might misplace some of the multicast records send above the major network. The experiment results have exposed that the proposed algorithm outclasses traditional algorithms in bandwidth deployment, handoff dropping rate and handoff rate.

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Service-Adaptive Fuzzy Multi Criteria Based Intelligent Vertical Handover Decision Algorithm for Heterogeneous Wireless Networks

Cited by 4 publications

References 9 publications

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

An Optimized Reinforcement Learning-Based Routing Protocol Using Spider Monkey Optimization Algorithm

Statistical Quality of Service to Increase Qos/Qoe of IP-Based Gateway for Integrating Heterogeneous Wireless Devices

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