Group Mobility Management for Large-Scale Machine-to-Machine Mobile Networking

Fu, Huai-Lei; Lin, Pengzhi; Hao, Yue; Huang, Guanming; Lee, Chia-Peng

doi:10.1109/tvt.2013.2284596

Cited by 62 publications

(49 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The enormous number of smart devices in IoT systems also requires some efficient mechanisms for mobility management. A feasible approach has been presented in [130]. In this scheme, group mobility is managed by a leader based on some similarity metric that is based on the mobility pattern of devices.…”

Section: Mobilitymentioning

confidence: 99%

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Al-Fuqaha

Guizani

Mohammadi

et al. 2015

IEEE Commun. Surv. Tutorials

6,641

3,137

View full text Add to dashboard Cite

A Fig. 1. The overall picture of IoT emphasizing the vertical markets and the horizontal integration between them. Remarks:The architectures that borrow their layers and concepts from network stacks (like the three-layer model) do not conform to real IoT environments since, e.g., the ‗Network Layer' does not cover all underlying technologies that transfer data to an IoT platform. In addition, these models have been designed to address specific types of communication media such as WSNs. More importantly, the layers are supposed to be run on resource-constrained devices while having a layer like ‗Service Composition' in SOA-based architecture takes rather a big fraction of the time and energy of the device to communicate with other devices and integrate the required services.

show abstract

Section: Mobilitymentioning

confidence: 99%

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Al-Fuqaha

Guizani

Mohammadi

et al. 2015

IEEE Commun. Surv. Tutorials

6,641

3,137

View full text Add to dashboard Cite

show abstract

“…We use the discrete-event-driven scheme [23] to simulate the arrival, resource holding, and mobility behavior of the UEs in the simulation model. We simulate 1,000,000 resource attempts in each simulation.…”

Section: Resultsmentioning

confidence: 99%

Mobility management through access network discovery and selection function for load balancing and power saving in software-defined networking environment

Yang¹,

Ke²,

Lin³

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

The mobile traffic has grown rapidly with the popularity of smart mobile devices. To accommodate increasing traffic, heterogeneous network integration is considered as a viable solution. By overlapping the coverage of heterogeneous networks (e.g., the long-term evolution (LTE) and Wi-Fi integrated network), the mobile operators can use the offloading service (e.g., Wi-Fi offloading) to reduce network congestion. In this approach, a proper network coordination mechanism is required for load balancing of the LTE and Wi-Fi integrated network. In this paper, we use access network discovery and selection function (ANDSF) to suggest selection of proper base stations (e.g., LTE evolved Node Bs or Wi-Fi access points) to user equipment (UE) for load balancing. We integrate the ANDSF with software-defined networking (SDN) to make the ANDSF-aided network more programmable, flexible, and dynamically manageable. Moreover, we propose a power-saving ANDSF (PSA) algorithm to appropriately assign network resource to UEs and reduce the power consumption of Wi-Fi access points (APs). We have implemented the SDN-based PSA and measured the delay times. We also conduct simulation experiments to show that the successful probability of UEs' resource requests to PSA is almost the same as the proposed schemes of the previous studies when the network traffic is unbalanced. Our study indicates that for unbalanced traffic, PSA can reduce 15.63 % more power consumption of Wi-Fi AP than the previous approaches.

show abstract

“…This behavior can be considered as a group-based action in M2M networks. The work in [11] assumes this group-based behavior as one of the features of M2M communications, meaning that the M2M devices are likely with correlated mobility and may perform mobility management at the same time.…”

Section: Related Workmentioning

confidence: 99%

Connectivity and coverage in machine-type communications

Sarigiannidis

Zygiridis

Sarigiannidis

et al. 2017

2017 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Abstract-Machine-type communication (MTC) provides a potential playground for deploying machine-to-machine (M2M), IP-enabled 'things' and wireless sensor networks (WSNs) that support modern, added-value services and applications. 4G/5G technology can facilitate the connectivity and the coverage of the MTC entities and elements by providing M2M-enabled gateways and base stations for carrying traffic streams to/from the backbone network. For example, the latest releases of longterm evolution (LTE) such as LTE-Advanced (LTE-A) are being transformed to support the migration of M2M devices. MTCoriented technical definitions and requirements are defined to support the emerging M2M proliferation. ETSI describes three types of MTC access methods, namely a) the direct access, b) the gateway access and c) the coordinator access. This work is focused on studying coverage aspects when a gateway access takes place. A deployment planar field is considered where a number of M2M devices are randomly deployed, e.g., a hospital where body sensor networks form a M2M infrastructure. An analytical framework is devised that computes the average number of connected M2M devices when a M2C gateway is randomly placed for supporting connectivity access to the M2M devices. The introduced analytical framework is verified by simulation and numerical results.

show abstract

Group Mobility Management for Large-Scale Machine-to-Machine Mobile Networking

Cited by 62 publications

References 11 publications

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Mobility management through access network discovery and selection function for load balancing and power saving in software-defined networking environment

Connectivity and coverage in machine-type communications

Contact Info

Product

Resources

About