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Neurfon netform: a self-organizing wireless sensor network.
| Content Provider | CiteSeerX |
|---|---|
| Author | Andric, O. Hester, L. Allen, A. Huang, Y. Chen, P. |
| Abstract | This paper introduces the neuRFon^TM 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 neuRFon^TM 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 neuRFon^TM system, we present simulation results showing network formation time, data packet delivery response time, and communication duty cycles of sensor nodes for a neuRFon^TM system with 64 nodes. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Network Evolves Low Data Rate Neurfon Tm System Wireless Sensor Node Link Failure Self-organizing Feature Selforganizing Wireless Network Neurfon Tm Netform Self-organizing Wireless Sensor Network Optimal Backbone Logical Backbone Architecture Sensor Node Data Communication Neurfon Netform Present Simulation Result Hierarchical Routing Node Exchange Essential Information New Node Network Node Network Formation Time Third Algorithm Second Algorithm First Algorithm Low Duty Cycle Mac Protocol Long Battery Life Data Packet Delivery Response Time Communication Duty Cycle Present Algorithm |
| Content Type | Text |
| Resource Type | Article |