VH-FL: Intelligent Vertical Handoff based on Fuzzy Logic Decision (original) (raw)
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Fuzzy Based Vertical Handoff Decision Controller for Future Networks
— In Next generation wireless Networks, the received signals (RSS) from different networks do not have a same meaning since each network is composed of its specific characteristics and there is no common pilot signal. Then, RSS comparisons are insufficient for handoff decision and may be inefficient and impractical. A more complex decision criterion that combines a large number of parameters or factors such as monetary cost, bandwidth, and power consumption and user profile is necessary. Though there are a lot works available for vertical handoff decision (VHD) for wireless networks, the selection of best network is still challenging problem. In this paper we propose a Fuzzy based vertical handoff decision controller (FVHDC) Which performs handover decision based on the output of fuzzy based rules.. Keywords— Vertical handoff, Fuzzy based vertical handoff decision controller (FVHDC), Vertical handoff decision (VHD),(RSS)Received signal strength,3G and 4G,Vertical hand over(VHO)
2015
Now a day's varying wireless technologies are driving today's wireless networks to become heterogeneous, i.e., the network comprised of two or more different access network technologies. Heterogeneous networks have created many challenges such as mobility management, handoff, resource management, location management, providing QoS, security and pricing. Switching between heterogeneous networks requires seamless vertical handoff. Therefore to ensure seamless roam across heterogeneous wireless technologies, efficient vertical handoff algorithms (VHA) are required to enhance QoS and offer reliable pervasive computing environment. The selection of parameters plays an important role in the decision of vertical handoff. The parameters like bandwidth signal strength, velocity, power consumption, throughput, cost, user preferences and network load are considered during vertical handoff in all the available works .This study reviews some recently done works on vertical handover imple...
An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm
Wireless Personal Communications
Handoff decision making is one of the most important topics in wireless heterogeneous networks architecture as there are many parameters which have to be considered when triggering handoff and selecting suitable access point. More intelligent approaches which reckon user profiles, application requirements, and network conditions must be improved so that desired performance results for both user and network could be provided. In this paper we introduce a new adaptive vertical handoff decision making algorithm in which fuzzy membership functions are optimized by means of genetic algorithm. Genetic algorithm is an adaptive search technique based on natural selection and genetic rules. In addition to that, it takes places in various scientific applications and can be used to adjust the membership functions in fuzzy systems. The purpose of the study is to adjust the shape of fuzzy membership functions, properly, using genetic algorithm in order to achieve optimum handoff performance. The results show that, compared to the several different algorithms performance of the proposed approach with genetic algorithm is significantly improved for both user and network in terms of number of handoff while the other requirements are still satisfied.
Handoff Optimization for Wireless and Mobile Networks using Fuzzy logic
International Journal of Computer Applications, 2013
The most important issue in Personal Communication Services (PCS) is the mobility management. And the efficiency of this PCS system is dependent on the maintenance of a reliable and optimal radio link between the mobile user and the fixed system. When the mobile user moves out of his coverage area, handoff is required to enjoy continuation of services. In this paper, a handoff algorithm termed as Fuzzy controller for Handoff Optimization (FCHO) is introduced based upon fuzzy logic. Traditional algorithms for handoff using fixed values of parameters can perform well only in specific environment but FCHO exploits attractive features of several existing algorithms, and adds more capabilities to provide adaptation to the dynamic environment. Simulation results reveal that the proposed FCHO algorithm eliminates the problem of corner effect by dynamically changing the value of threshold and hysteresis with the change in the RSSI and the velocity of the mobile station.
An Overview of Vertical Handoff Decision Algorithm
International Journal of Computer Applications, 2015
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. As the popularity of mobile wireless networks increases as well the challenges of merging a various number of wireless networks increases. Everyone around the world likes to have the best services through best network [11]. Therefore, the aim of NGWNs is to provide a good quality of services between various access networks [24]. To access different networks, there must be a decision algorithm to decide which is the best network for a user for a specific application. This paper presents an Overview of handoff types, handoff process, the criteria involved in VHD, parameters, Existing work on the vertical handoff with comparison tables, Analysis and Various research issues.
IET Communications, 2012
Fourth-generation networks are expected to integrate heterogeneous wireless technologies. To ensure seamless mobility across disparate wireless technologies, efficient handoff schemes are required to enhance quality of service (QoS) and offer reliable ubiquitous computing environment. This study reviews classical and existing fuzzy approaches adopted for vertical handoff to ensure seamless mobility across overlaid heterogeneous networks. A neuro-fuzzy multi-parameter-based vertical handoff decision algorithm (VHDA) is proposed. The proposed VHDA considers six parameters and applies rulebased system for vertical handoff decision. The number of vertical handoffs measured in a simulated environment shows that average number of vertical handoffs for the proposed VHDA reduces by 13.3 and 29.8% for the existing fuzzy technique and the classical technique, respectively. Further, reduction in number of unnecessary vertical handoffs in the proposed algorithm shows reduction in ping-pong effect by 15.9%, improvement in end-point service availability (ESA) and throughput by 16.57 and 5.97%, with respect to existing fuzzy technique leading towards improved QoS. Finally, the results of performance assessment, carried out using handoff quality indicator (used to quantify QoS) which is dependent upon ping-pong effect, ESA and throughput, show that the proposed VHDA offers better QoS than existing vertical handoff techniques.
Vertical Handover Decision Making Using Fuzzy Logic
2014
In recent years mobile users can move between heterogeneous networks (networks with different operating system and/or protocols) using end devices with multiple network interface. It's important to achieve the Always Best Connected (ABC) Concept to offer the best QoS available in the user's location. The issue of being connected to a network with poor parameters, while another network with better parameters is available arises, thus giving the users multiple options to choose from. To move seamlessly from one network to the other, and without suffering from disconnecting and reconnecting delays, or loss of signal, Vertical Handover has been a proposed in many researches. Vertical Handover can offer the best and most efficient solution to such situation.
An Approach for Optimization of Handoff Algorithm Using Fuzzy Logic System
International Journal of Computer Science and …
The major goal of a futuristic Mobile phone system is to provide excellent Quality of Service (QoS) to the user by enhancing the available Band width along with the establishment of assured, guaranteed seamless connection between the users in spite of nature, quality of the Networks used by them. In traditional algorithm relative signal strength and other conventional parameters are used for execution of the Handoff mechanism. With these parameters the enhancement in QoS was achieved up to certain extent. For further exploitment of the technique by using some Artificial Intelligence Techniques such as Fuzzy Logic, Neural Network, etc. The fuzzy logic based approach allows an organized tuning of the handoff parameters to provide a balanced tradeoff among different system characteristics.
Intelligent vertical handover decision model to improve QoS
… Management, 2008. ICDIM …, 2008
In order to sustain connection and service in heterogeneous wireless environment, vertical handover is necessary. Now-a-days research focus is to optimize vertical handover so that optimized and application specific (QoS based) handover can be made possible. In this paper, an intelligent approach to vertical handover is proposed. The fuzzy logic based decision making is used to select among the available
QoS aware fuzzy rule based vertical handoff decision algorithm for wireless heterogeneous networks
2011
Increasing demands of ubiquitous services in wireless networks and evolution towards heterogeneous solutions has driven the necessity of developing efficient QoS aware vertical handoff (handoff between different networks) mechanisms. This paper proposes a QoS aware fuzzy rule based vertical handoff mechanism that makes a multi-criteria based decision, found to be effective for meeting the requirements of different applications. The QoS parameters considered are available bandwidth, end-to-end delay, jitter, and bit error rate (BER). A new evaluation model is proposed using a non birth-death Markov chain, in which the states correspond to the available networks. Simulation results show that compared to other vertical handoff algorithms, the proposed algorithm gives better performance for different traffic classes.