Knapsack - TOPSIS Technique for Vertical Handover in Heterogeneous Wireless Network

Malathy, E. M.; Muthuswamy, Vijayalakshmi

doi:10.1371/journal.pone.0134232

Cited by 14 publications

(10 citation statements)

References 15 publications

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“…Note that there are very few papers in the literature that combine TOPSIS and the knapsack problem. İç et al [47] present a model based on Fuzzy TOPSIS-Knapsack for the order selection problem for a bakery firm, whereas a Knapsack-TOPSIS approach was also in some telecommunication applications, such as in handovers techniques that facilitate service continuity for mobile users [48]. To that extent, the integration of the two methods is also methodologically interesting.…”

Section: Methodsmentioning

confidence: 99%

Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique: A Case Study on Small Island Developing States—The Rodrigues Island

Kontovas

Sooprayen

2020

Sustainability

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Many remote areas, such as island states, are highly dependent on the transportation of cargo, and any disruptions similar to the 2020 pandemic lockdowns can negatively affect their respective supply chains. These disruptions could lead to a severe humanitarian crisis. It is therefore imperative to develop a cargo prioritisation process to ensure that essential commodities are transported. We propose a decision-aid tool that integrates two methods: (a) the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and (b) the knapsack problem. Containers are prioritised based on attributes such as their importance and their economic value. TOPSIS is used to calculate a score for each container and the knapsack problem determines the containers to be imported respecting the transportation capacity constraints. The practical applicability of the model is demonstrated by a case study on a Small Island Developing State. The proposed decision-aid tool could also be extended to be used in disaster relief situations.

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Section: Methodsmentioning

confidence: 99%

Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique: A Case Study on Small Island Developing States—The Rodrigues Island

Kontovas

Sooprayen

2020

Sustainability

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“…Suppose that endusers move straightly at a presupposed uniform speed and height. Set TOPSIS [7] and FuzzTOPSIS [8]be the baselines. Randomly initialize the security level, reliability, access capacity and user preferences of backbone nodes/access points.…”

Section: Methodsmentioning

confidence: 99%

A Handover Decision Algorithm Based on Evolutionary Game Theory for Space-ground Integrated Network

Yi¹,

Jiang²,

Cao³

et al. 2019

Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)

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When handovers occur to user in space-ground integrated network, handover decisions should be made to select the optimal access point. However, existing decision indexes are not suitable to handover scenarios in space-ground integrated network and overlooks the overall performance of network. To address these issues, a handover decision algorithm based on evolutionary game theory was proposed. Firstly, handover indexes were selected from aspects of link quality, network quality, load balance and user demand, and weight matrix was established. Secondly, membership function was introduced to normalize the decision indexes, and user utility function and cost function of access points were designed according to the impact of indexes on handover performance and cost. Finally, evolutionary game theory is introduced to construct a handover decision model, whose stability strategy indicates the optimal access point. Experiment results show that the algorithm can meet the seamless handover requirements, and possesses high accuracy and validity.

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“…[32], [33], [13], [34], [16], [35], [11], [36] Intelligent based Scheme This scheme is used to overcome the issues of handover performance that irreversible in real-time data delivery in terms of handover latency, throughput, and unnecessary handovers.…”

Section: Rss-based Schemementioning

confidence: 99%

Fuzzy Logic-based Intelligent Scheme for Enhancing QoS of Vertical Handover Decision in Vehicular Ad-hoc Networks

Azzali

Ghazali

Omar

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The design of next generation networks in various technologies under the "Anywhere, Anytime" paradigm offers seamless connectivity across different coverage. A conventional algorithm such as RSSThreshold algorithm, that only uses the received strength signal (RSS) as a metric, will decrease handover performance regarding handover latency, delay, packet loss, and handover failure probability. Moreover, the RSS-based algorithm is only suitable for horizontal handover decision to examine the quality of service (QoS) compared to the vertical handover decision in advanced technologies. In the next generation network, vertical handover can be started based on the user's convenience or choice rather than connectivity reasons. This study proposes a vertical handover decision algorithm that uses a Fuzzy Logic (FL) algorithm, to increase QoS performance in heterogeneous vehicular ad-hoc networks (VANET). The study uses network simulator 2.29 (NS 2.29) along with the mobility traffic network and generator to implement simulation scenarios and topologies. This helps the simulation to achieve a realistic VANET mobility scenario. The required analysis on the performance of QoS in the vertical handover can thus be conducted. The proposed Fuzzy Logic algorithm shows improvement over the conventional algorithm (RSSThreshold) in the average percentage of handover QoS whereby it achieves 20%, 21% and 13% improvement on handover latency, delay, and packet loss respectively. This is achieved through triggering a process in layer two and three that enhances the handover performance. IntroductionUsers' demand for mobile Internet access is increasing every day. Several types of radio access technologies are available and implemented with their own properties such as bandwidth, response time and coverage area. These properties are essential due to the development of applications and services that require large bandwidths, low latency, anywhere and anytime connection alive without disconnection and so on. However, to accommodate these needs, new and better networks are being specified and developed. For example, popular applications among mobile users nowadays include those used for video conferencing, email, messaging and even live TV. Most of these applications necessitate that the connection be maintained as the device move from one access point (AP) to another. Sometimes a mobile user needs to change the connection to another type of network. Vertical handover mechanisms can be used for seamless mobility and better service quality in networks.The main problems with current handover mechanism are a lot of unnecessary handovers and dropped calls [1]. The unnecessary handovers and dropped calls occur due to low signal, and the long distance between the device and the AP or Base Station. Furthermore, these problems can also occur in overlapping areas where mobile users travel quickly back and forth between one cell and the next cell in the network. The conventional handover algorithm (e.g. RSS-based algorithm) is more suitable

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Knapsack - TOPSIS Technique for Vertical Handover in Heterogeneous Wireless Network

Cited by 14 publications

References 15 publications

Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique: A Case Study on Small Island Developing States—The Rodrigues Island

Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique: A Case Study on Small Island Developing States—The Rodrigues Island

A Handover Decision Algorithm Based on Evolutionary Game Theory for Space-ground Integrated Network

Fuzzy Logic-based Intelligent Scheme for Enhancing QoS of Vertical Handover Decision in Vehicular Ad-hoc Networks

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