Name
Abstract | ||
|---|---|---|
To address energy constraint problem in sensor networks, node reclamation and replacement strategy has been proposed for networks accessible to human beings and robots. The major challenge in realizing the strategy is how to minimize the system maintenance cost, especially the frequency in replacing sensor nodes with limited number of backup nodes. New duty cycle scheduling schemes are required in order to address the challenge. Tong et al. have proposed a staircase-based scheme to address the problem based on ideal assumptions of sensor nodes that are free of failure and have regular energy consumption rate. Since sensor nodes are often deployed in outdoor unattended environment, node failures are inevitable. Energy consumption rates of sensor nodes are irregular due to manufacture or environmental reasons. Hence, this paper proposes several new schemes to achieve reliable scheduling for node reclamation and replacement. Extensive simulations have been conducted to verify that the proposed scheme is effective and efficient. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/INFCOM.2010.5462010 | INFOCOM |
Keywords | Field | DocType |
major challenge,sensor nodes,sensor network,scheduling,long-lived replaceable sensor networks,robots,system maintenance cost,human beings,regular energy consumption rate,towards reliable scheduling scheme,reliable scheduling schemes,energy constraint problem,proposed scheme,staircase-based scheme,telecommunication network management,node failure,energy consumption,energy consumption rate,wireless sensor networks,sensor node,backup node,long-lived replaceable sensor network,node reclamation,frequency,job shop scheduling,energy states,maintenance engineering,schedules,computer science,energy conservation,duty cycle,hardware | Key distribution in wireless sensor networks,Scheduling (computing),Computer science,Computer network,Schedule,Robot,Energy consumption,Wireless sensor network,Maintenance engineering,Backup,Distributed computing | Conference |
ISSN | ISBN | Citations |
0743-166X | 978-1-4244-5836-3 | 3 |
PageRank | References | Authors |
0.44 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Tong | 1 | 129 | 8.13 |
| Zi Li | 2 | 355 | 19.59 |
| Guiling Wang | 3 | 573 | 34.93 |
| Wensheng Zhang | 4 | 1415 | 80.30 |