Name
Abstract | ||
|---|---|---|
Efficient energy consumption is the most important challenge in wireless sensors networks. Many solutions have been proposed since many years as efficient medium access control protocols, smart sensing applications, appropriate task scheduling, and so on. Task scheduling allows could participate to optimise energy consumption, it aims to propose planning over repetitive time periods where sensors need to sleep, to collect data and to communicate. In this paper, we propose two scheduling procedures (semi-dynamic and dynamic) which are executed over the ZigBee network in beacon-enabled mode. Each of these algorithms has its own features and advantages. The Zigbee super-frame is used as a means to inform each node on its duties (when to sleep or when to communicate). In order to evaluate our proposals, we have implemented them over TelosB motes running on operating system TinyOS. These algorithms have been implemented on the Z-Monitor tool . We have compared our scheduling approaches to the usual static scheduling method provided by Zigbee. These evaluations show that our proposals enhance network lifetime and ensure better packet data rate and lower latency. Copyright (c) 2017 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1002/cpe.4284 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
Keywords | Field | DocType |
wireless sensors networks,energy consumption,MAC layer,scheduling,optimisation | Fixed-priority pre-emptive scheduling,Fair-share scheduling,Scheduling (computing),Computer science,Network packet,Computer network,Two-level scheduling,Dynamic priority scheduling,Wireless sensor network,Round-robin scheduling,Embedded system,Distributed computing | Journal |
Volume | Issue | ISSN |
29 | SP23 | 1532-0626 |
Citations | PageRank | References |
1 | 0.39 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bandar Al-Ghamdi | 1 | 2 | 0.76 |
| Marwane Ayaida | 2 | 43 | 16.04 |
| Hacène Fouchal | 3 | 159 | 38.35 |