ANP based vertical handover algorithm for vehicular communication

Datta, Shubhajit; Dhar, Sourav; Bera, Rabindra Nath; Ray, Amitava

doi:10.1109/rait.2012.6194511

Cited by 12 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We may find in the literature very few contributions applying ANP to the network selection problem. In this paper, we show that using ANP may be a very attractive solution for that purpose since it allows to see the scenario as a network of attributes; such capability has been barely studied in previous work regarding ANP [10,11].…”

Section: B Related Work On Madm Network Selection Mechanismsmentioning

confidence: 99%

NetANPI: A network selection mechanism for LTE traffic offloading based on the Analytic Network Process

Martinez

Ramos

2015

2015 36th IEEE Sarnoff Symposium

View full text Add to dashboard Cite

Traffic offloading in Long Term Evolution (LTE) networks is a key process in cellular networks so a mobile device chooses one of the available femtocells. In the last few years, several network selection methods have been proposed based on multiple attribute decision making (MADM) techniques for traffic offloading in LTE. The Analytic Network Process (ANP) is an MADM method that has been barely studied for network selection in cellular networks; ANP configures the decision making problem as a network of attributes in order to derive priority scales of individual judgments. We propose in this paper NetANPI (Network selection ANP-based mechanism with Ideal network comparison), which is an ANP decision making mechanism for traffic offloading in LTE. We show its effectiveness by contrasting it with MADM methods proposed in the literature as AHP, ELECTRE, TOPSIS, GRA, and SAW. We also introduce a mechanism to rank the MADM algorithm using utility theory. Our results show that NetANPI outperforms the most used MADM mechanism for the interactive and conversational traffic classes.

show abstract

Section: B Related Work On Madm Network Selection Mechanismsmentioning

confidence: 99%

NetANPI: A network selection mechanism for LTE traffic offloading based on the Analytic Network Process

Martinez

Ramos

2015

2015 36th IEEE Sarnoff Symposium

View full text Add to dashboard Cite

show abstract

“…This bottleneck is handled by using fuzzy based multiple attribute decision making algorithms for deciding when and to which network, it has to handover. Datta et al (2012) proposed Analytic network process based optimum network selection algorithm using network traffic load, velocity of mobile station, reliability, data rate, usage cost with the consideration of vehicular communication system. Lahby et al (2012) proposed optimal network selection algorithm based on analytic network process and grey relational analysis.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Vertical Handover Decision Algorithm for Wireless Heterogeneous Networks

Narayanan¹,

Rajeswari²,

Sureshkumar³

2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

The Next Generation Wireless Networks (NGWN) should be compatible with other communication technologies to offer the best connectivity to the mobile terminal which can access any IP based services at any time from any network without the knowledge of its user. It requires an intelligent vertical handover decision making algorithm to migrate between technologies that enable seamless mobility, always best connection and minimal terminal power consumption. Currently existing decision engines are simple, proprietary and its handover is only based on the received signal strength which has been proven unintelligent. The proposed decision algorithm gains intelligence by combining fuzzy logic system to handle imprecise data, multiple attribute decision making to handle multiple attributes for decision making and context aware strategies to reduce unnecessary handover. The proposed intelligent decision algorithm detects new network which offers best connectivity than current network and does authentication and mobile IP registration before making the handover; thereby reducing the packet loss to ensure high quality of service. This algorithm is capable of forwarding data packets to appropriate attachment point to maximize battery lifetime and also to maintain load balancing. The performance analysis shows that the proposed algorithm efficiently uses the network resources by switching between 3G and Wi-Fi under the different RF environmental conditions to offer best connectivity with minimal service cost to the users. It is observed that average handover delay for the experiment is 30-40ms and the integration of cellular network with WLAN using the proposed intelligent decision algorithm reduces the call dropping rate (<0.006) and call blocking probability (<0.00607) as well as unnecessary handover in heterogeneous networks.

show abstract

“…LTE supports the highest mobility among the three networks [6,7]. WLAN can support 25-30km/h; UMTS can support 90-100km/h and LTEs can support up to 150 km/h [8]. Each of these networks would support differently, the QoS requirement of a given group call from the MN.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Decision-Criteria Dynamics on Network Selection for Group Calls in Heterogeneous Wireless Networks

Obayiuwana¹,

Orimolade²

2020

IJCA

View full text Add to dashboard Cite

This paper focuses on the network selection for group calls in heterogeneous wireless networks (HWNs) with dynamic criteria. A group call comprises multiple independent calls, such as: voice, file-download, video-streaming, online-gaming sessions, etc. that are activated concurrently on a multimode mobile node (MN). The next generation wireless networks (NGWNs) have the capability to support group calls from multimode MNs. Network selection for group calls in HWNs is a complex and multi-criteria group decision (MCGDM) problem. Existing works in the literature that addresses the network-selection problem of the vertical handover (VHO) of group calls assumes that the multiple criteria used for making network selection decisions are static. However, in NGWNs, some criteria, such as: MN's speed, network's service price, and network traffic load, are used for making network-selection decisions for VHO that are dynamic. The dynamics of the network selection criteria for VHO of group calls affect the choice of the most suitable selected network. Thus, it is important to consider decision criteria dynamics when making network selection decisions for the VHO of group calls in NGWNs. In this paper, a new network selection algorithm that uses a MULTlplicative-form with Multi-Objective Optimization Ratio Analysis (MULTIMOORA) for making network selection decisions for the VHO of group calls is proposed. An investigation into the effect of decision criteria dynamics on VHO decisions for group calls is carried out. The performance of the MULTIMOORA is validated by comparing it with TOPSIS, a well-known MCGDM algorithm. The performance of TOPSIS is seen to be unstable at high MN speed regions, unlike MULTI-MOORA. The simulation results show the effectiveness of the proposed scheme for making network-selection decisions for group calls in HWNs with dynamic multi-criteria.

show abstract

ANP based vertical handover algorithm for vehicular communication

Cited by 12 publications

References 16 publications

NetANPI: A network selection mechanism for LTE traffic offloading based on the Analytic Network Process

NetANPI: A network selection mechanism for LTE traffic offloading based on the Analytic Network Process

An Intelligent Vertical Handover Decision Algorithm for Wireless Heterogeneous Networks

The Effect of Decision-Criteria Dynamics on Network Selection for Group Calls in Heterogeneous Wireless Networks

Contact Info

Product

Resources

About