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neuRFon TM Netform : A Self-Organizing Wireless Sensor Network
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hester, Lance Huang, Ying Andric, Oleg Allen, Adina Chen, Phoebus |
| Copyright Year | 2002 |
| Abstract | This paper introduces the neuRFonTM Netform, a selforganizing wireless network for low data rate, low-power fixed sensor nodes. The protocol utilizes a logical backbone architecture through which data communications between all the network nodes are supported by hierarchical routing. We present algorithms that underpin the self-organizing features. The first algorithm constructs the optimal backbone as new nodes are introduced. The second algorithm dictates how the nodes exchange essential information for maintaining the optimal routing backbone as the network evolves. The third algorithm enables the network to recover automatically from node/link failures. The neuRFonTM Netform is designed to work in conjunction with a low duty cycle MAC protocol, described briefly in this paper, in order to support long battery life for wireless sensors. To illustrate the performance of the neuRFonTM system, we present simulation results showing network formation time, data packet delivery response time, and communication duty cycles of sensor nodes for a neuRFonTM system with 64 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cise.ufl.edu/~ycen/huangyan/CR8.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
