Home M2M networks: Architectures, standards, and QoS improvement

By Yan Zhang, Rong Yu, Shengli Xie, Wenqing Yao, Yang Xiao, Mohsen Guizani. IEEE Communications Magazine, 2011

452 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2d243f27bbb70ef66a7aff6e6b1e37dcd000ebd6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Sabita Maharjan
2. Liehuang Zhu
3. Keke Gai
4. Jiawen Kang
5. Yulu Wu
6. Lei Xu
7. Yan Zhang
8. Lei Liu

In Electrical and Electronic Engineering

1. Yan Zhang
2. Sabita Maharjan
3. Jiawen Kang
4. Liehuang Zhu
5. Keke Gai
6. Yulu Wu
7. Lei Xu
8. Qingqi Pei

Citations in the corpus

• Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (2019, background): “supporting the smart home [148], smart grid [149], etc.”
• Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things (2018, background): “However, it is a great challenge for the industrial systems to satisfy the ever-increasing energy demands of IIoT applications, while IIoT nodes continue to grow in both numbers and performance requirements [4], [5].”
• Narrow Band Internet of Things (2017, background): “The most important feature of smart city realization is communication coverage of IoT network [94], [95].”
• UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “, urban, rural, and sparsely populated areas) [28], it is imperative”
• Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks (2019, result): “Therefore, it should be a suitable occasion to develop an approach that could cover both decentralized computing and tamper-resistant without lowering down privacy-preserving capability and SGN’s functionality.”
• Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid (2019, background): “, solar energy and smart grid, makes it possible for individuals to store, share, and transfer energy supplies [1], [2].”
• Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks (2019, background): “Due to variation in wireless environment, the size of the wireless coverage areas of these RSUs may be different [22].”
• M2M Service Platforms: Survey, Issues, and Enabling Technologies (2014, background): “M2M uses machines to monitor certain events with sensors and to instruct actuation [2].”
• Machine-to-Machine Communications: Architectures, Standards and Applications (2012, background): “A possible architecture for home M2M network is proposed in [17].”
• M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, background): “To allocate radio resources efficiently while ensuring QoS requirement for reliable communications is an essential and challenging issue [76], [77].”
• Vehicular Edge Computing and Networking: A Survey (2019, background): “d urbanization, Intelligent Transportation System (ITS) has received increasing interest from academia and industry. By integrating information and communication technologies [1], [2], [3], [4], [5], [6], ITS plays an important role in enhancing road safety and improving traffic efficiency. Vehicular ”