6 research outputs found
Vertical Handover Decision Algorithm in Heterogeneous Wireless Networks
[EN] With the recent progress in the area of cellular communication the issue of inter cells
handover without dropping an ongoing connection with the base station has arisen. In this paper,
the focus is on the performance of vertical handover. Various proposed interconnection
architectures for vertical handover in heterogeneous networks were studied. Two different
algorithms to make the decision on when and to which network perform a handover were
considered. In the first of them the decision is based on the received signal strength (RSS). In the
second one a fuzzy logic system that uses RSS, bandwidth, battery power and packet loss as the
input parameters is proposed. The simulation results show that the algorithm based on fuzzy
logic leads to a reduction of the number of handovers and a minimisation of the power
consumption as compared to the first algorithm used here and the existing algorithms.This work was supported by the Spanish Ministry of Economy and Competitiveness through Grants TIN2013-47272-C2-1-R and BES-2011-045551.Benaatou, W.; Latif, A.; Pla, V. (2017). Vertical Handover Decision Algorithm in Heterogeneous Wireless Networks. International Journal of Internet Protocol Technology (Online). 10(4):197-213. https://doi.org/10.1504/IJIPT.2017.08891419721310
Applying ANFIS Model in Decision-making of Vertical Handover between Macrocell and Femtocell Integrated Network
[EN] One of the most challenging tasks in
communication networks is to maintain seamless mobility and
service continuity during a vertical handover. This paper
provides the case of handover decision making between
femtocell and macrocell integrated network considering several
input parameters, namely SINR, bandwidth and energy
consumption. We have simulated and proposed a vertical
handover based on adaptive neuro-fuzzy inference system
(ANFIS) to achieve a goal of having an intelligent handover
and to predict the best destination network. The simulation
results show that the approach based on ANFIS leads to a
reduction of unnecessary handovers and a minimization of the
energy consumption as compared to the existing approaches.Benaatou, W.; Latif, A.; Pla, V. (2019). Applying ANFIS Model in Decision-making of Vertical Handover between Macrocell and Femtocell Integrated Network. Journal of Telecommunication, Electronic and Computer Engineering. 11(1):57-62. http://hdl.handle.net/10251/159152S576211
Modeling Seamless Vertical Handovers in Heterogeneous Wireless Networks
Vertical handover in heterogeneous wireless networks provides customers with better Quality of Service (QoS) experience. For seamless handover, timely initiation of handover process plays a key role. Various vertical handover management protocols have been proposed and standardized to support mobility across heterogeneous networks. In Media Independent Handover (MIH) based schemes, distributed handover decision is made via certain predefined triggers that consider user context. In this paper, we present a comprehensive review of the modeling techniques used during management of vertical handover. We have also defined a novel architecture, HRPNS: Handoff Resolving and Preferred Network Selection module enabling vertical handover that ensures QoS. The construction of HRPNS module involves integration of fuzzy logic and Markov Decision Process (MDP) for providing precise decision of handover
Network selection mechanism for telecardiology application in high speed environment
The existing network selection schemes biased either to cost or Quality of Service (QoS) are not efficient enough for telecardiology application in high traveling speed environment. Selection of the candidate network that is fulfilling the telecardiology service requirements as well as user preference is a challenging issue. This is because the preference of telecardiology user might change based on the patient health condition. This research proposed a novel Telecardiology-based Handover Decision Making (THODM) mechanism that consists of three closely integrated algorithms: Adaptive Service Adjustment (ASA), Dwelling Time Prediction (DTP) and Patient Health Condition-based Network Evaluation (PHCNE). The ASA algorithm guarantees the quality of telecardiology service when none of the available networks fulfils the service requirements. The DTP algorithm minimizes the probability of handover failure and unnecessary handover to Wireless Local Area Network (WLAN), while optimizing the connection time with WLAN in high traveling speed environment. The PHCNE algorithm evaluates the quality of available networks and selects the best network based on the telecardiology services requirement and the patient health condition. Simulation results show that the proposed THODM mechanism reduced the number of handover failures and unnecessary handovers up to 80.0% and 97.7%, respectively, compared with existing works. The cost of THODM mechanism is 20% and 85.3% lower than the Speed Threshold-based Handover (STHO) and Bandwidth-based Handover (BWHO) schemes, respectively. In terms of throughput, the proposed scheme is up to 75% higher than the STHO scheme and 370% greater than the BWHO scheme. For telecardiology application in high traveling speed environment, the proposed THODM mechanism has better performance than the existing network selection schemes