| 1. |
- Li, Wenxiang, et al.
(författare)
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Facilities Collaboration in Cloud Manufacturing based on Generalized Collaboration Network
- 2015
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Ingår i: Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness. - : IEEE. - 9781631900631 ; , s. 298-303
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Konferensbidrag (refereegranskat)abstract
- In cloud manufacturing for regional industrial cluster, there is increasing necessity of collaboration among enterprises or facilities. It is valuable to explore the characteristics of these collaboration behaviors for effectively scheduling dispersed manufacturing facilities and organizing their collaboration. The collaborative relation of manufacturing in regional industrial cluster can be described as a generalized social collaboration network. In this paper, we introduce the relevant entities and relations of facilities collaboration, and propose the method for building Facility Collaboration Network (FCN). We further design the dynamically growing process of FCN for different facility selection strategies, including random selection, balanced selection, random selection with preference and balanced selection with preference. Based on the metrics such as network scale, node degree distribution, act degree distribution, average shortest distance and number of cliques, we present the statistical characteristics of FCN, and analyze relevant characteristics and laws for efficient facilities selection in cloud manufacturing.
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| 2. |
- Yu, Rong, et al.
(författare)
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An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with A Mobile Charger
- 2015
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Ingår i: 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness. - Taipei : The Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST). - 9781631900631
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Konferensbidrag (refereegranskat)abstract
- Energy harvesting wireless network is an emerging paradigm where the wireless nodes harvest energy to increase their lifetime. Due to high potential for a large variety of applications, such networks have drawn considerable attention in both industry and academia. In this paper, we consider the energy replenishment problem when the wireless nodes not only harvest energy from the ambient environment but also may receive energy from a mobile charger. We propose an optimal energy replenishment strategy using stochastic inventory theory to derive the optimal amount of energy supplied by the mobile charger. The simulation results show that our proposed scheme not only optimizes the energy utilization, but also improves the economic benefit of the wireless nodes. Copyright © 2015–2015 ICST
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