Name
Abstract | ||
|---|---|---|
scenarios like the surveillance of isolated areas, when the border node of a network does not have a permanent connection with the Internet, Wireless Sensor Networks (WSNs) are calling for resilient in-network data storage techniques which minimize the risk of data loss. The efficiency of these techniques can be largely improved exploiting information on the status of the network, such as that used by routing protocols. In particular, one of the most used protocol in Internet of Things (IoT) scenarios is the IPv6 Routing Protocol for Low power and lossy networks (RPL). In this paper, we propose a redundant distributed data storage and retrieval mechanism to increase the resilience and storage capacity of a RPL-based WSN against local memory shortage. We evaluate our approach in the Contiki operating system through extensive analysis with the Cooja simulator. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IWCMC.2013.6583761 | 2013 9TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC) |
Keywords | Field | DocType |
distributed data storage, RPL, data replication, data retrieval, Contiki, Cooja | Link-state routing protocol,Dynamic Source Routing,Computer science,Hierarchical routing,Enhanced Interior Gateway Routing Protocol,Static routing,Computer network,Wireless Routing Protocol,Zone Routing Protocol,Distributed computing,Routing protocol | Conference |
ISSN | Citations | PageRank |
2376-6492 | 1 | 0.36 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pietro Gonizzi | 1 | 28 | 2.58 |
| Gianluigi Ferrari | 2 | 1690 | 139.36 |
| Paolo Medagliani | 3 | 80 | 12.94 |
| Jeremie Leguay | 4 | 303 | 28.78 |