Ontology-Based Context Management Agent for Vertical Handoff Use Fuzzy Logic Decision in Heterogeneous Network

2007 ◽  
Author(s):  
Nguyen Thi Thanh Huong ◽  
Matsumoto Mitsuji
Keyword(s):  
Fuzzy Logic ◽  
Heterogeneous Network ◽  
Vertical Handoff ◽  
Context Management

scholarly journals The Reversing Paging Process of Callee in Heterogeneous Networks

2011 ◽  
Vol 1 ◽  
pp. 3-8
Author(s):  
Cong Zhao ◽  
Wei Guo
Keyword(s):  
Heterogeneous Networks ◽  
Mobility Management ◽  
Heterogeneous Network ◽  
Vertical Handoff ◽  
The Past ◽  
The Future ◽  
Wireless Signal ◽  
Set Up

To achieve the goal that anybody could communicate with anyone at anytime in anyplace and in anyway, many technologies, such as GSM、CDMA、WCDMA、CDMA2000、TD-SCDMA、802.11a/b/g and so on, come true in the past years. And now, many B3G or 4G technologies are being studied. It is well-known that the future network would be heterogeneous networks. It is studied in this paper the mobility management of wireless heterogeneous network and a reversing paging process of callee is proposed which integrates paging and handoff. In the process when the caller pages the callee choosing its best suited network on one end, the callee chooses its own best network to begin a reversing paging process to set up the communication. The simulation tells that the proposed process has better performances in the call delay, the call succeeding rate and the wireless signal cost than that of the existing process in which it sets up the call first and then does vertical handoff independently.

Application Specific Performance Evaluation of Vertical Handoff in UMTS-WLAN Network

2018 ◽  
Vol 18 (04) ◽  
pp. 1850013 ◽  
Author(s):  
AABHA JAIN ◽  
SANJIV TOKEKAR
Keyword(s):  
Heterogeneous Network ◽  
Mobile Node ◽  
Traffic Load ◽  
Vertical Handoff ◽  
Handoff Management ◽  
Seamless Mobility ◽  
Handoff Latency ◽  
End To End ◽  
Application Specific ◽  
Unnecessary Handoff

The next generation of wireless system is expected to provide multimedia, multi class services any time anywhere with seamless mobility and Quality of Service (QoS). In such environment, vertical handoff management plays an important and challenging role. Some of the main functions of vertical handoff management are: to implement appropriate vertical handoff decision to minimize number of unnecessary handoff, to maintain minimum vertical handoff latency for seamless mobility and to provide guaranteed acceptable QoS required for user satisfaction. Thus, in this paper to avoid unnecessary handoff in integrated heterogeneous network we have proposed that the vertical handoff decision depends on coverage area of the network and the speed of the Mobile Node. Application specific cut-off speed for particular coverage range of network during which handoff is beneficial has been determined. Real time applications like HDTV, MPEG-4, and H.261 are considered in integrated heterogeneous network of UMTS (Universal Mobile Telecommunication System) and WLAN. Vertical handoff latency is analyzed for varied network traffic load, types of application and varied speed of Mobile Node. Effect of Mobile Node speed on packet loss is also analyzed. Finally, to satisfy user with acceptable end to end QoS, especially in the presence of heterogeneous integrated networks where every network has individual QoS, an end to end QoS mapping scheme between UMTS and WLAN integrated network has been proposed. The simulation is performed using Network Simulator NS-2 with NIST (National Institute of Standards and Technology) add on module.

scholarly journals Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

2020 ◽  
Vol 2 (1) ◽  
pp. 126-165
Author(s):  
Alexey Yu. Bykovsky
Keyword(s):  
Fuzzy Logic ◽  
Quantum Optics ◽  
Heterogeneous Network ◽  
Network Architecture ◽  
Dimensional Space ◽  
Boolean Logic ◽  
Data Sets ◽  
Coding Schemes ◽  
Multiple Valued Logic ◽  
Robotic Devices

Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.

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