Reducing Location Update Cost using Multiple Virtual Layers in HMIPv6

2006 ◽  
pp. 357-367 ◽  
Author(s):  
Jongpil Jeong ◽  
Min Young Chung ◽  
Hyunseung Choo
Keyword(s):  
Location Update ◽  
Location Update Cost

scholarly journals Elimination of generalized ping-pong effects using triple-layers of location areas in cellular networks

2008 ◽  
Vol 5 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Guangbin Fan ◽  
Ivan Stojmenovic ◽  
Jingyuan Zhang
Keyword(s):  
Cellular Networks ◽  
Location Management ◽  
Mobile Terminal ◽  
Location Update ◽  
Triple Layer ◽  
Management Scheme ◽  
Ping Pong ◽  
A Cell ◽  
Location Update Cost ◽  
New Location

Location-areas is a popular location management scheme in cellular networks In the location areas scheme, a service area is partitioned into location areas, each consisting of contiguous cells. A mobile terminal updates its location whenever it moves into a cell that belongs to a new location area. However, no matter how the location areas are designed, the ping-pong location update effect exists when a mobile terminal moves back and forth between two location areas. The paper defines a new kind of ping-pong effect referred to as the generalized ping-pong effect, and shows that it accounts for a nonnegligible portion of the total location update cost. Although several strategies have been proposed to reduce the ping-pong effect in the literature, they either eliminate no generalized ping-pong effect or introduce a larger paging cost. This paper proposes a triple-layer location management strategy to eliminate the generalized ping-pong effect, therefore greatly reducing the total location update cost. Simulation results show that the triple-layer strategy outperforms the existing schemes designed to reduce the ping-pong effect.

Performance Analysis on Location Update Cost of Multihoming-Based Scheme in NEMO

2014 ◽  
Author(s):  
Shayla Islam ◽  
Aisha H. Abdalla ◽  
Mohamed Hadi Habaebi ◽  
Suhaimi A. Latif ◽  
H.A.M. Ramli ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Location Update ◽  
Location Update Cost

Location update cost of distance-based scheme for PCS networks with CTRW model

2009 ◽  
Vol 13 (6) ◽  
pp. 408-410 ◽  
Author(s):  
Qinglin Zhao ◽  
Soung Liew ◽  
Yao Yu
Keyword(s):  
Location Update ◽  
Pcs Networks ◽  
Location Update Cost

scholarly journals Flow-based Proxy NEMO Solutions: An Analysis of the Location Update Cost

2019 ◽  
Author(s):  
Shayla Islam ◽  
Aisha Hassan Abdalla Hashim ◽  
Mohammad Kamrul Hasan ◽  
Abdur Razzaque ◽  
Chit Su Mon
Keyword(s):  
Location Update ◽  
Location Update Cost

Tunnel MTU discovery for nested mobile networks based on location update

2013 ◽  
Vol 32 (8) ◽  
pp. 2090-2094
Author(s):  
Long CHEN ◽  
Hong-bo TANG ◽  
Ling-wei WANG
Keyword(s):  
Mobile Networks ◽  
Location Update

scholarly journals Distributed Group Location Update Algorithm for Massive Machine Type Communication

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7336
Author(s):  
Mincheol Paik ◽  
Haneul Ko
Keyword(s):  
Outage Probability ◽  
Stochastic Game ◽  
Location Update ◽  
Response Dynamics ◽  
Small Energy ◽  
Machine Type ◽  
Best Response ◽  
Machine Type Communication ◽  
Iot Devices ◽  
The Individual

Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.

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