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Proceedings ArticleDOI

Topsis based delay sensitive network selection for wireless body area networks

01 Aug 2017-pp 736-739

TL;DR: TOPSIS method is used for taking decision in delay sensitive network selection for achieving reliability of network selection with Wireless Body Area Network (WBAN) parameters; viz. end-to-end-delay, network lifetime and throughput.
Abstract: Multi Criteria Decision Making (MCDM) is useful for choosing a possible objective. The objective is to investigate how far TOPSIS method of MCDM can be utilized for delay sensitive network selection problem. In this paper, TOPSIS method is used for taking decision in delay sensitive network selection for achieving reliability of network selection with Wireless Body Area Network (WBAN) parameters; viz. end-to-end-delay, network lifetime and throughput. The best solution for selecting a network model is ranked using this method. MCDM uses infinite number of alternatives for analysis. TOPSIS compares the attributes of each alternative, normalizes each attribute and also calculates the distance of each alternative from the ideal solution.
Topics: TOPSIS (67%), Body area network (54%), Wireless sensor network (52%), Multiple-criteria decision analysis (50%)
Citations
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Journal ArticleDOI
Anqi Zhu1, Songtao Guo1, Bei Liu2, Mingfang Ma1  +2 moreInstitutions (3)
TL;DR: Compared with commonly used simple additive weighting (SAW), random access selection (RAS), and price-based and QoS-based network selection scheme, this scheme has better performance in improving average user satisfaction and reducing access failures.
Abstract: With the coming of the fifth-generation (5G) mobile communications, in mobile edge computing (MEC), the growth of user services and the personalization of QoS requirements have posed great challenges for heterogeneous wireless networks (HWNs) access selection. Based on the multiattribute decision theory and the fuzzy logic theory, we propose a novel network selection scheme for multiservice QoS requirements in MEC. The main procedures of the scheme include dynamic adaptive process, fuzzy process, hierarchical analysis, and integrated attributes assessment. The scheme proposed contributes to efficiently reduce the ping-pong effect and effectively select accurate network in a dynamic environment. Simulation results show that our scheme can select network access according to the type of user services and whether to switch networks. In addition, compared with commonly used simple additive weighting (SAW), random access selection (RAS), and price-based and QoS-based network selection scheme, our scheme has better performance in improving average user satisfaction and reducing access failures.

21 citations


Cites methods from "Topsis based delay sensitive networ..."

  • ...The fourth category is the network selection method based on multiattribute decision-making, which is generally determined by setting the weights of different factors for network selection such as simple additive weighting (SAW) [18]–[20], technique for order preference by similarity to ideal solution (TOPSIS) [21]–[24], multiplicative exponent weighting (MEW) [25], [26], Grey relational analysis (GRA) [27]–[29], and analytic hierarchy process (AHP) [30]–[32]....

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Book ChapterDOI
16 Jul 2020
TL;DR: The deductive method and the scanning research technique were applied to study a case study on the Wisconsin Breast Cancer dataset, which seeks to evaluate and compare the performance and effectiveness of machine learning models using the TOPSIS.
Abstract: In machine learning, it is common when multiple algorithms are applied to different data sets that are complex because of their accelerated growth, a decision problem arises, ie, how to select the algorithm with the best performance? This has generated the need to implement new information analysis techniques to support decision making The technique of multi-criteria decision making is used to select particular alternatives based on different criteria The objective of this article is to present some Machine Learning models applied to a data set in order to select the best alternative according to the criteria using the TOPSIS method The deductive method and the scanning research technique were applied to study a case study on the Wisconsin Breast Cancer dataset, which seeks to evaluate and compare the performance and effectiveness of machine learning models using the TOPSIS

5 citations


Proceedings ArticleDOI
Anqi Zhu1, Songtao Guo2, Mingfang Ma1Institutions (2)
15 Jun 2020
TL;DR: The network selection problem for edge users is formulated as a discrete-time Markov model, and a Nash Q-learning based intelligent network access algorithm for multi-agent system, named MAQNS is proposed.
Abstract: In the heterogeneous wireless networks, it remains a significant challenge to achieve an efficient network selection strategy to satisfy the demands of a massive number of edge users and novel 5G services. In this paper, we formulate the network selection problem for edge users as a discrete-time Markov model, and propose a Nash Q-learning based intelligent network access algorithm for multi-agent system, named MAQNS. We consider the joint optimization of network selection strategies among different types of networks, aiming at maximizing the long-term performance of multi-agent system. Meanwhile, we use Analytic Hierarchy Process (AHP) and Grey Relation Analysis (GRA) to characterize the user preferences for networks. Experimental results show that comparing to the existing network selection algorithms, the proposed MAQNS has better performance in terms of system throughput, user blocking probability, average energy efficiency and average delay.

Cites methods from "Topsis based delay sensitive networ..."

  • ...• In order to determine the access network by optimizing the long-term performance of the system, we adopt a discrete-time Markov chain to model the system instead of the traditionally and extensively used MADM algorithm [15]–[17], [20]–[22]....

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References
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01 Jan 2013
Abstract: Multi-Criteria Decision Making (MCDM) methods have evolved to accommodate various types of applications. Dozens of methods have been developed, with even small variations to existing methods causing the creation of new branches of research. This paper performs a literature review of common Multi-Criteria Decision Making methods, examines the advantages and disadvantages of the identified methods, and explains how their common applications relate to their relative strengths and weaknesses. The analysis of MCDM methods performed in this paper provides a clear guide for how MCDM methods should be used in particular situations.

930 citations



01 Jan 1998
TL;DR: This paper provides a comprehensive survey of some methods for eliciting data for MCDM problems and also for processing such data.
Abstract: The core of operations research is the development of approaches for optimal decision making. A prominent class of such problems is multi-criteria decision making (MCDM). The typical MCDM problem deals with the evaluation of a set of alternatives in terms of a set of decision criteria. This paper provides a comprehensive survey of some methods for eliciting data for MCDM problems and also for processing such data.

412 citations


"Topsis based delay sensitive networ..." refers background in this paper

  • ...[15] views the MCDM from an operational research perspective....

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DOI
23 Jan 2013
Abstract: Multi Criteria Decision Making (MCDM) provides strong decision making in domains where selection of best alternative is highly complex. This survey paper reviews the main streams of consideration in multi criteria decision making theory and practice in detail. The main purpose is to identify various applications and the approaches, and to suggest approaches which are most robustly and effectively useable to identify best alternative. This survey work also addresses the problem in fuzzy multi criteria decision making techniques. Multi criteria decision making have been applied in many domains. MCDM method helps to choose the best alternatives where many criteria have come into existence, the best one can be obtained by analyzing the different scope for the criteria, weights for the criteria and the choose the optimum ones using any multi criteria decision making techniques. This survey provides the comprehensive developments of various methods of FMCDM and its applications.

201 citations


Additional excerpts

  • ...[14] surveys MCDM methods and applications briefly....

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Journal ArticleDOI
TL;DR: A novel cross-layer fuzzy-rule scheduling algorithm and energy-aware radio activation policies are introduced and a fuzzy-logic system in each body sensor is integrated to deal with multiple cross- layer input variables of diverse nature in an independent manner.
Abstract: Wireless body sensor networks (BSNs) in healthcare systems operate under conflicting requirements. These are the maintenance of the desired reliability and message latency of data transmissions, while simultaneously maximizing battery lifetime of individual body sensors. In doing so, the characteristics of the entire system, including physical, medium access control (MAC), and application layers have to be considered. The aim of this paper is to develop a new MAC model for BSNs to fulfill all these specific rigorous requirements under realistic medical settings. For that purpose, a novel cross-layer fuzzy-rule scheduling algorithm and energy-aware radio activation policies are introduced. The main idea is to integrate a fuzzy-logic system in each body sensor to deal with multiple cross-layer input variables of diverse nature in an independent manner. By being autonomously aware of their current condition, body sensors are able to demand a "collision-free" time slot, whenever they consider it strictly required (e.g. high system packet delay or low body sensor residual battery lifetime). Similarly, they may refuse to transmit, if there is a bad channel link, thus permitting another body sensor to do so. This results in improving the system overall performance. The proposed MAC model is evaluated by computer simulations in terms of quality of service and energy consumption under specific healthcare scenarios.

179 citations


"Topsis based delay sensitive networ..." refers methods in this paper

  • ...In WBAN, the data should be highly reliable [18]....

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