Adaptive Quality-Aware Replication in Wireless Sensor Networks

Neumann, Jana; Reinke, Christoph; Hoeller, Nils; Linnemann, Volker

doi:10.1007/978-3-642-10844-0_48

Cited by 5 publications

(8 citation statements)

References 10 publications

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“…The sensing period of the nodes is an integer number chosen randomly and independently in the range [1,9] s. All nodes have the same buffer size, equal to B = 100 data units. The memory advertisement period T adv is set to 30 s. We adopt the Expected Transmission Count (ETX) as RPL metric.…”

Section: Performance Resultsmentioning

confidence: 99%

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Data storage and retrieval with RPL routing

Gonizzi

Ferrari

Medagliani

et al. 2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In 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.

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Section: Performance Resultsmentioning

confidence: 99%

“…A scoring function for suitably choosing a replicator node is proposed in [9]. The function is influenced by critical parameters such as the number of desired replicas, the remaining energy of a replicator node and the energy of the neighbors of the replicator node.…”

Section: Related Workmentioning

confidence: 99%

Data storage and retrieval with RPL routing

Gonizzi

Ferrari

Medagliani

et al. 2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

View full text Add to dashboard Cite

show abstract

Section: Distributed Storagementioning

confidence: 99%

“…It has been widely studied for WSNs and several works are available in the literature [4,28]. A scoring function for choosing a suitable replicator node was proposed in a study by Neumann et al [4]. The function is influenced by critical parameters such as the number of desired replicas, the remaining energy of a replicator node, and the energy of the neighbors of the replicator node.…”

Section: Distributed Storagementioning

confidence: 99%