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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takahashi, M. Bin Tang Jaggi, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering and Computer Science, Wichita State University, KS 67260, USA (Takahashi, M.; Bin Tang; Jaggi, N.) |
| Abstract | We study data preservation in intermittently connected sensor networks, wherein the sensor nodes do not always have connected paths to the base station. In such networks, the generated data is first stored inside the network before being uploaded to the base station when uploading opportunity arises. How to preserve the data inside the network is therefore an important problem. The problem becomes more challenging when sensor nodes have finite and unreplenishable battery energy. In this paper, we identify, formulate and study the data preservation problem in the intermittently connected sensor networks under energy constraints at sensor nodes. The problem aims to preserve the data inside the network for maximum possible time, by distributing the data items from low energy nodes to high energy nodes. We first show that this problem is NP-hard. We then design a centralized greedy heuristic and a distributed data distribution algorithm, and compare their performances using simulations. |
| Starting Page | 590 |
| Ending Page | 595 |
| File Size | 328197 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457702495 |
| e-ISBN | 9781457702488 |
| DOI | 10.1109/INFCOMW.2011.5928882 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Energy consumption Base stations Data Preservation Algorithms Distributed databases Optimized production technology Robot sensing systems Intermittently connected Sensor Networks Energy states |
| Content Type | Text |
| Resource Type | Article |
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