Name
Title | ||
|---|---|---|
Energy efficient route recovery methods for wireless sensor networks using hybrid checkpointing |
Abstract | ||
|---|---|---|
Since sensor nodes inter-work with one another on Ubiquitous Sensor Networks (USNs) to transfer data to the sink node, the lifetime of each sensor becomes an important factor for determining that of the USN. The users cannot recognize the scattered sensor nodes; thus, any sensor node cannot be recharged or replaced. The lifetime of a sensor node is determined by its battery. Accordingly, the lifetime of the entire communication network is required to increase by decreasing energy usage as much as possible to enable all of the sensor nodes to operate for a long time. Much energy is used in the following process: Initialization process where clusters are built, the normal operations of collecting data and transferring them to the sink node, or while the routing table is updated when an error occurs on a node during normal operation. In order to extend the entire lifetime of the USN, a technology for minimizing energy consumption is required in a variety of areas. In this study, an algorithm is introduced in order to decrease the energy required to update a routing table while recovering a fault from a node. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74477-1_55 | ICCSA |
Keywords | Field | DocType |
scattered sensor node,energy consumption,initialization process,hybrid checkpointing,sink node,sensor node,wireless sensor network,sensor nodes inter-work,energy usage,routing table,normal operation,energy efficient route recovery,entire lifetime,normal operator,sensor network | Sensor node,Key distribution in wireless sensor networks,Efficient energy use,Computer science,Computer network,Brooks–Iyengar algorithm,Real-time computing,Mobile wireless sensor network,Routing table,Wireless sensor network,Energy consumption | Conference |
Volume | ISSN | ISBN |
4706 | 0302-9743 | 3-540-74475-4 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| KwangMo Jung | 1 | 43 | 7.22 |
| Joong-Jin Kook | 2 | 46 | 4.65 |
| Kwang-Soon Choi | 3 | 0 | 1.35 |
| Seong-Dong Kim | 4 | 42 | 9.10 |
| Sang-Won Min | 5 | 1 | 2.09 |