We in this paper explore a new data dissemination framework in Mobile P2P networks based on neighborhood detection. Previous works in the literature usually elaborated upon the reduction of amount of messages disseminated in the network. However, an important and practical issue remains unresolved. The success of the system design usually relies on the support of other internal sensors such as GPS and accelerator, causing the extra power consumption. In this paper, we propose the NCS framework (standing for Neighborhood Conscious Scheme), which observes user’s neighborhood situation for estimating the surrounding environment without using any internal sensor. In our method, NCS not only achieves the low power consumption but also reduces unnecessary redundant messages as compared to the state-of the-art solution.
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014|
|Period||14-05-13 → 14-05-16|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)