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480 results on '"Wu, Huaming"'

170. Error resilient image transport in wireless sensor networks

Author

Wu, Huaming and Abouzeid, Alhussein A.

Subjects
Sensors -- Usage, Sensors -- Analysis, Markov processes -- Analysis, Energy consumption -- Analysis
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.comnet.2005.09.039 Byline: Huaming Wu, Alhussein A. Abouzeid Keywords: Diversity combining; Forward error correction; Image transport; Sensor networks Abstract: In this paper, we propose an "in-network" diversity combining scheme for image transport over wireless sensor networks. We consider a wireless sensor network with both wireless link impairments and node failures. We analyze two performance metrics of the proposed image transport scheme: energy consumption and received image quality distortion. Our analysis models key aspects of the network including forward error correction, path diversity, and the multi-hop nature of ad-hoc networks. The channel model used is a two-state Markov model describing errors on the bit level. We also use a two-state Markov model of node transitions between an "on" and "off" state. Reed-Solomon coding is used for forward error correction. Theoretical and simulation results show the robustness improvement. This work also helps in understanding the tradeoffs between image quality distortion and energy consumption as a function of various network parameters such as the number of hops between the source and the destination, the average channel error rate, and the average node failure rate. Author Affiliation: Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, 110 8th St. Troy, NY 12180, United States Article History: Received 19 April 2005; Revised 21 September 2005; Accepted 23 September 2005 Article Note: (miscellaneous) Responsible Editor: S. Palazzo

Published
2006

191. PDMA: Probabilistic service migration approach for delay‐aware and mobility‐aware mobile edge computing.

Author

Xu, Minxian, Zhou, Qiheng, Wu, Huaming, Lin, Weiwei, Ye, Kejiang, and Xu, Chengzhong

Subjects
MOBILE computing, EDGE computing, MOBILITY management (Mobile radio), CHARGE carrier mobility, CLOUD computing, QUALITY of service, COMPUTATIONAL complexity, USER experience
Abstract

As a key technology in the 5G era, mobile edge computing (MEC) has developed rapidly in recent years. MEC aims to reduce the service delay of mobile users, while alleviating the processing pressure on the core network. MEC can be regarded as an extension of cloud computing on the user side, which can deploy edge servers and bring computing resources closer to mobile users, and provide more efficient interactions. However, due to the user's dynamic mobility, the distance between the user and the edge server will change dynamically, which may cause fluctuations in Quality of Service. Therefore, when a mobile user moves in the MEC environment, certain approaches are needed to schedule services deployed on the edge server to ensure the user experience. In this article, we model service scheduling in MEC scenarios and propose a delay‐aware and mobility‐aware service management approach based on concise probabilistic methods. This approach has low computational complexity and can effectively reduce service delay and migration costs. Furthermore, we conduct experiments by utilizing multiple realistic datasets and use iFogSim to evaluate the performance of the algorithm. The results show that our proposed approach can optimize the performance on service delay, with 8%–20% improvement and reduce the migration cost by more than 75% compared with baselines during the rush hours. [ABSTRACT FROM AUTHOR]

Published
2022
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