Handoff Decision Using a Kalman Filter and Fuzzy Logic in Heterogeneous Wireless Networks

Kustiawan, Iwan; Chi, Kuang-Hui

doi:10.1109/lcomm.2015.2495212

Cited by 50 publications

(14 citation statements)

References 7 publications

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“…In order to enable handover in hybrid networks, Reference [13] investigates the mobile node's handover in mixed IPv4/IPv6 environment, and provides handover procedure for different scenarios. Besides, Reference [14] proposes handover decision using a Kalman filter and fuzzy logic in heterogeneous wireless networks and shows handover decision from cellular networks to WLAN. Reference [15] proposes a design in wireless mesh networks, which separates the backhaul channels into data packets and signaling packets to reduce handover latency.…”

Section: Handover In the Network With Low Mobilitymentioning

confidence: 99%

SDN-based Handover Scheme in Cellular/IEEE 802.11p Hybrid Vehicular Networks

Duo

Yoshinaga

et al. 2020

Sensors

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With the arrival of 5G, the wireless network will be provided with abundant spectrum resources, massive data transmissions and low latency communications, which makes Vehicle-to-Everything applications possible. However, VANETs always accompany with frequent network topology changes due to the highly mobile feature of vehicles. As a result, the network performance will be affected by the frequent handover. In this paper, a seamless handover scheme is proposed where the Software-Defined Networking (SDN) and Mobile Edge Computing (MEC) technologies are employed to adapt to the dynamic topology change in VANETs. The introduction of SDN provides a global view of network topology and centralized control, which enables a stable transmission layer connection when a handover takes place, so that the upper layer performance is not influenced by the network changes. By employing MEC server, the data are cached in advance before a handover happens, so that the vehicle can restore normal communication faster. In order to confirm the superiority of our proposal, computer simulations are conducted from different aspects. The results show that our proposal can significantly improve the network performance when a handover happens.

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Section: Handover In the Network With Low Mobilitymentioning

confidence: 99%

SDN-based Handover Scheme in Cellular/IEEE 802.11p Hybrid Vehicular Networks

Duo

Yoshinaga

et al. 2020

Sensors

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“…A route-selection algorithm was used in [18] to get a better battery lifetime and to balance the load. Kalman filtering and fuzzy logic were employed in [19] to give seamless communication. A survey of different classification techniques designed for the handover decision-making process in heterogeneous wireless networks was analyzed in [20].…”

Section: Literature Surveymentioning

confidence: 99%

Bagging Ensembled Perceptron Classifier for Seamless Mobility System in Heterogeneous Network

Reddy*,

Dr. Chandrasekhar

2020

IJITEE

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Wireless mobile devices require a handover decision system to get a seamless connection in a heterogeneous wireless networking environment. The handover process is one of the most significant processes in a cellular network. Few research works have been developed for providing seamless connectivity using different handover techniques. But, controlling data traffic during the process of seamless mobile data connectivity was not solved. So, there is a necessity to introduce a new model to control the traffic and improving the seamless mobility management in heterogeneous network. A new model called Bagging Ensembled Perceptron Classification based Seamless Mobility (BEPC-SM) introduced to achieve higher data delivery rate with minimum packet loss rate and data transmission delay by means of classifying the mobile nodes in heterogeneous network. In BEPC-SM model, randomly considers a number of mobile nodes in the heterogeneous network as input. Then, BEPC-SM model determines signal strength for each mobile node in a heterogeneous network. Bagging Ensembled Perceptron Classification algorithm is used in BEPC-SM model with the aim of accurately classifying all mobile nodes as strong or weak strength node with a lower amount of time consumption. After that, the distance between the weak strength node and the access point in the network is measured. Lastly, BEPC-SM Model selects the nearby access point with maximum bandwidth availability for each weak strength node in the network to perform the handover process. Thus, the performance of seamless data communication in a heterogeneous network is improved in BEPC-SM model. The BEPC-SM model is used in traffic-aware seamless data communication in a heterogeneous network. Simulation evaluation of the BEPC-SM Model is carried out on factors such as data delivery rate, packet loss rate, data transmission delay with respect to a number of data packets. The simulation result depicts that the BEPC-SM Model is able to increases the data delivery rate and also reduces delay when compared to state-of-the-art works.

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“…The last stage is the handover execution process, where a mobile terminal moves from its current network to the new network coverage. A seamless network connection will be achieved if the handover decision algorithm is intelligent enough to decide the best candidate network by considering several parameters related to the complexity of current network architecture and technological advancement [16] [17][18] [19]. Based on the existing work, VHO decision-making schemes can be categorized into five classes.…”

Section: Information Collection Parametersmentioning

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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Handoff Decision Using a Kalman Filter and Fuzzy Logic in Heterogeneous Wireless Networks

Cited by 50 publications

References 7 publications

SDN-based Handover Scheme in Cellular/IEEE 802.11p Hybrid Vehicular Networks

SDN-based Handover Scheme in Cellular/IEEE 802.11p Hybrid Vehicular Networks

Bagging Ensembled Perceptron Classifier for Seamless Mobility System in Heterogeneous Network

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

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