scholarly journals A PMIPv6-based Distributed Mobility Control Scheme Considering a User's Movement Locality

2013 ◽  
Vol 14 (3) ◽  
pp. 283-290 ◽  
Author(s):  
Ki-Sik Kong
Keyword(s):  
Mobility Control ◽  
Control Scheme

Optimal Mobility Control of Sensors in the Event of a Disaster

2019 ◽  
Vol 14 (3) ◽  
pp. 500-507
Author(s):  
Yuichi Nakamura ◽  
Masaki Ito ◽  
Kaoru Sezaki ◽  
◽  
Keyword(s):  
Mobility Control ◽  
Sensor Nodes ◽  
Human Beings ◽  
Evacuation Simulation ◽  
Agent Based ◽  
Kriging Variance ◽  
Crowd Sensing ◽  
Control Scheme ◽  
Preceding Result ◽  
High Quality Information

Disasters have caused serious damage on human beings throughout their long history. In a major natural disaster such as an earthquake, a key to mitigate the damage is evacuation. Evidently, secondary collateral disasters is account for more casualty than the initial one. In order to have citizens to evacuate safely for the sake of saving their lives, collecting information is vital. However at times of a disaster, it is a difficult task to gain environmental information about the area by conventional way. One of the solutions to this problem is crowd-sensing, which regards citizens as sensors nodes and collect information with their help. We considered a way of controlling the mobility of such sensor nodes under limitation of its mobility, caused by road blockage, for example. Aiming to make a mobility control scheme that enables high-quality information collection, our method uses preceding result of the measurement to control the mobility. Here it uses kriging variance to do that. We evaluated this method by simulating some measurements and it showed better accuracy than baseline. This is expected to be a method to enable a higher-quality input to the agent-based evacuation simulation, which helps to guide people to evacuate more safely.

scholarly journals Distributed Identifier-Locator Mapping Management in Mobile ILNP Networks

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 58 ◽  
Author(s):  
Moneeb Gohar ◽  
Jin-Ghoo Choi ◽  
Waleed Ahmed ◽  
Arif Ur Rahman ◽  
Muhammad Muzammal ◽  
...  
Keyword(s):  
Mobile Host ◽  
Mobility Control ◽  
Handover Delay ◽  
Mobile Hosts ◽  
Total Transmission ◽  
Control Scheme ◽  
Control Schemes ◽  
Control Traffic ◽  
Dynamic Domain ◽  
Domain Name Service

In the Identifier Locator Network Protocol (ILNP) networks, the existing mobility control schemes based on the centralized entity, called the Dynamic Domain Name Service (DDNS) server, such that all the control traffic is processed at the DDNS server. However, the centralized mobility schemes have significant limitations, such as control traffic overhead at the server and large handover delay. In order to resolve these issues, we propose a new mobility control scheme for ILNP networks, which manages the identifier-locators (ID-LOCs) in the fully distributed manner. In our scheme, each domain has a dedicated mobile DDNS (m-DDNS) server at the site border router (SBR). The m-DDNS server maintains two databases; i.e., home host register (HHR) and visiting host register (VHR), to support the roaming of mobile hosts. When a mobile host roams into a domain, the m-DDNS server in the visiting domain registers the host’s ID-LOC in the VHR and requests the update of HHR to the m-DDNS server in the home domain. Since the m-DDNS servers communicate each other directly, the ID-LOC mappings are managed without involvement of any central entities. We analyzed our proposed mobility scheme via numerical analysis and compared its performance with those of existing schemes. Numerical results showed that our scheme outperforms the existing mobility control schemes substantially in terms of control traffic overhead at the servers, total transmission delay and handover delay.

A distributed mobility control scheme in LISP networks

2013 ◽  
Vol 20 (2) ◽  
pp. 245-259 ◽  
Author(s):  
Moneeb Gohar ◽  
Seok-Joo Koh
Keyword(s):  
Mobility Control ◽  
Control Scheme

Comments on 'An adaptive control scheme for robot manipulators'

1989 ◽  
Vol 49 (5) ◽  
pp. 1805-1809
Author(s):  
Yong-Duan Song ◽  
Wei-Bing Gao
Keyword(s):  
Adaptive Control ◽  
Robot Manipulators ◽  
Control Scheme ◽  
Adaptive Control Scheme

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

A Study on Concurrency Control Scheme for Scalability of Blockchain

2020 ◽  
Vol 20 (3) ◽  
pp. 71-78
Author(s):  
Yong-Hyeog Kang ◽  
◽  
Wonhyung Park
Keyword(s):  
Concurrency Control ◽  
Control Scheme
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