Méthodes d’optimisation multicritères pour la sélection de réseaux dans un environnement hétérogène

L’objectif de ce chapitre est de mettre l’accent sur la sélection de réseaux dans un environnement hétérogène en se basant sur la notion de qualité de service (QoS). L’objectif principal pour un environnement hétérogène est de concrétiser le concept Always Best Connected (ABC) en offrant aux utilisateurs mobiles la possibilité de tirer profit des réseaux ayant des performances différentes. De nos jours, nous avons une variété de technologies d’accès radio, les WLAN, essentiellement l’IEEE 802.11 et les réseaux cellulaires (UMTS, HSPA et le LTE). Cette variété constitue l’environnement hétérogène. La procédure de sélection de réseau consiste à sélectionner le meilleur réseau parmi ceux disponibles. Cependant, le grand nombre de paramètres impliqués dans le processus de sélection (le coût d’utilisation, la QoS, l’énergie consommée) rend la décision très difficile et complexe.

QoS based Enhanced System Determination Plan for 4G Frameworks

In this paper we regulate 4G structures where choice of applications in light of Rank of the separation work has been enlisted for different open associations/get to types of progress, dynamic clients to the degree handoff we moreover figure the data transmission, delay and no of gatherings lost. This client driven structure deals with the motivation to give best associations of the system to the clients. The proposed estimation shows better outcomes separated from single parameter based structure, under a heterogeneous structure framework. In like way in the last half we do consider the data move limit usage utilizing (SFF) and dynamic recently fit (DFF) by which we limit as far as possible which is an oblige for some client by prudence of adaptable controlling. At long last we look at the execution estimations by strategies for PC reenactment and multifaceted nature Rank in light of parcel work and Always Best Connected approach for gathering transport degree, throughput, no of packs lost and deferral

A new method for handoff target network selection

In wireless communications of fourth generation the expectation to assimilate a hypothetically numerous heterogeneous wireless technologies are happened under consideration of a novel step toward worldwide smooth access. The advancement in wireless networks increases the challenges of mobility management as well the challenges of merging a various number of wireless networks. Out of those the main challenge for smooth movement is the accessibility of consistent vertical (intersystem) and horizontal (intra-system) handoff processes. So to improve the quality of service and to provide always best connected services all the time, the handoff decision algorithm must select an optimum target network from the available candidate networks. The purpose of this paper is to provide a mechanism for selecting an optimum target network from the available networks. This method is devised for maximizing the user satisfaction level, by selecting the “best” network as the handover target network among multiple candidate networks.

Predictive Methods of Always Best-Connected Networks in Heterogeneous Environment

Heterogeneous networks are comprised of dense deployments of pico (small cell) base stations (BSs) overlaid with traditional macro BSs, thus allowing them to communicate with each other. The internet itself is an example of a heterogeneous network. Presently, the emergence of 4G and 5G heterogeneous network has attracted most of the user-centric applications like video chatting, online mobile interactive classroom, and voice services. To facilitate such bandwidth-hungry multimedia applications and to ensure QoS (quality of service), always best-connected (ABC) network is to be selected among available heterogeneous network. The selection of the ABC network is based on certain design parameters such as cost factor, bandwidth utilization, packet delivery ratio, security, throughput, delay, packet loss ratio, and call blocking probability. In this chapter, all the above-mentioned design parameters are considered to evaluate the performance of always best-connected network under heterogeneous environment for mobile users.

A novel vertical handover algorithm based on Adap-tive Neuro-Fuzzy Inference System (ANFIS)

Nowadays, there is an increased demand on an Internet connection anywhere at any time. Therefore, one has to exploit all available heterogeneous wireless networks where the target is achieving the Always Best Connected (ABC) among the different networks like UMTS, WiMAX, and WLAN. So, vertical handover techniques are used to ensure the best connectivity anywhere at any time. In this paper, novel ANFIS-based vertical handover is presented and compared with TOPSIS algorithm and other algorithms as a representative of Multi-criteria decision making (MCDM) algorithm's family. The simulation results show that the proposed handover technique provided better performance in terms of minimizing the time delay and improving the quality of service (QOS). This is because ANFIS requires iterations only in training phase otherwise, it has a much faster response. Our simulations considered the effect of many practical parameters on handover, such as subscriber speed, jitter, initial delay, bandwidth and received signal strength (RSS).According to these parameters, output values produced, which is utilized to choose the best candidate access network.

Always Best Connected Mobile Sensor Network to Support High Accuracy Internet of Farming

The Internet of Farming be dependent on data gathered from sensor of Wireless Sensor Network (WSN). The WSN requires a reliable connectivity to provide accurate prediction data of the farming system. This paper introduces a mechanism that gives always best connectivity (ABC). The mechanism considers all stakeholders (mobile node, corresponding node and users) attributes. An empirical simulation shows that the proposed mechanism provides an acceptable ABC to the mobile sensors in the WSN.