Name
Abstract | ||
|---|---|---|
In Wireless Sensor Networks (WSNs) for monitoring applications, energy saving and fast data collection are two challenging tasks. Asynchronous radio duty cycling protocols can achieve very low energy consumption in low traffic conditions and they are fault-tolerant to clock drifts. However, they may exhibit a delay degradation due to the decoupled wake-up periods of the nodes. In this paper, we present RAWMAC, a cross-layer approach where RPL, a tree-based routing protocol, orchestrates the asynchronous duty-cycled ContikiMAC MAC layer. The wake-up instants of the nodes are dynamically aligned, with respect to the RPL topology, to minimize the delay for data collection. We implement RAWMAC for the Contiki operating system and we analyze the impact of several key system parameters. Results show that RAWMAC outperforms ContikiMAC in terms of delay for data collection, while keeping the same performance in terms of throughput and energy consumption. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WiMOB.2014.6962172 | Wireless and Mobile Computing, Networking and Communications |
Keywords | Field | DocType |
access protocols,energy consumption,fault tolerance,routing protocols,telecommunication network topology,telecommunication traffic,wireless sensor networks,Contiki operating system,ContikiMAC,MAC protocol,RAWMAC,RPL topology,WSN,asynchronous radio duty cycling protocols,clock drifts,cross-layer approach,data collection,delay degradation,energy consumption,energy saving,tree-based routing protocol,wireless sensor networks | Key distribution in wireless sensor networks,Link-state routing protocol,Dynamic Source Routing,Computer science,Computer network,Interior gateway protocol,Wireless Routing Protocol,Wireless sensor network,Zone Routing Protocol,Routing protocol,Distributed computing | Conference |
ISSN | Citations | PageRank |
2160-4886 | 1 | 0.36 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pietro Gonizzi | 1 | 28 | 2.58 |
| Paolo Medagliani | 2 | 80 | 12.94 |
| Gianluigi Ferrari | 3 | 1690 | 139.36 |
| Jeremie Leguay | 4 | 303 | 28.78 |