Contaminated areas monitoring via distributed rateless coding with constrained data gathering

Stefanović, Čedomir; Crnojević, Vladimir; Vukobratović, Dejan; Niccolai, L.; Chiti, Francesco; Fantacci, R.

doi:10.1145/1815396.1815550

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…Packet-centric means that in the encoding phase, it just needs to control the data packets itself, which can tolerant nodes failure. Paper [17] used the above method in the special scenarios where nodes are deployed in inaccessible location. It used a simple edge detection method to find the surrounding nodes and the collector can recover source data by visiting these surrounding nodes.…”

Section: Related Workmentioning

confidence: 99%

An Optimized Degree Strategy for Persistent Sensor Network Data Distribution

Zhang

et al. 2012

2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing

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Nodes of wireless sensor networks (WSN) may fail easily due to the lack of energy or disaster scenarios. Such failures can severely reduce the persistence and collection efficiency of sensed data. Network coding technology can be employed to enhance the data persistence of wireless sensor network, but it may cause serious 'cliff effect' in decoding process. In this paper, the influence of prioritized coding degree distribution strategy on cliff effect is observed, and a distributed storage algorithm PLTD-Alpha is proposed. With PLTD-Alpha, the data in sensor network nodes present a trend that their degree distribution increase along with the degree level predefined, and the persistent data packets can be submitted to the sink node according to its degree in order. Experiment results show that PLTD-Alpha can greatly improve the data collection and decoding efficiency of sensor network while data persistence is not notably affected.

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Section: Related Workmentioning

confidence: 99%

An Optimized Degree Strategy for Persistent Sensor Network Data Distribution

Zhang

et al. 2012

2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing

View full text Add to dashboard Cite

show abstract

“…Packet-centric means that in the encoding phase, it just has to control the data packets itself, which can tolerate node failures. In [29], the above methods are observed in the special scenarios where sensor nodes are deployed in an inaccessible location. A simple edge detection method is utilized to find the surrounding nodes and the collector can recover source data by visiting these surrounding nodes.…”

Section: Related Workmentioning

confidence: 99%

Prioritized Degree Distribution in Wireless Sensor Networks with a Network Coded Data Collection Method

Wan

Xiong

Zhang

et al. 2012

Sensors

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The reliability of wireless sensor networks (WSNs) can be greatly affected by failures of sensor nodes due to energy exhaustion or the influence of brutal external environment conditions. Such failures seriously affect the data persistence and collection efficiency. Strategies based on network coding technology for WSNs such as LTCDS can improve the data persistence without mass redundancy. However, due to the bad intermediate performance of LTCDS, a serious ‘cliff effect’ may appear during the decoding period, and source data are hard to recover from sink nodes before sufficient encoded packets are collected. In this paper, the influence of coding degree distribution strategy on the ‘cliff effect’ is observed and the prioritized data storage and dissemination algorithm PLTD-ALPHA is presented to achieve better data persistence and recovering performance. With PLTD-ALPHA, the data in sensor network nodes present a trend that their degree distribution increases along with the degree level predefined, and the persistent data packets can be submitted to the sink node according to its degree in order. Finally, the performance of PLTD-ALPHA is evaluated and experiment results show that PLTD-ALPHA can greatly improve the data collection performance and decoding efficiency, while data persistence is not notably affected.

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“…The traffic data management issue for large data stream has been investigated in , and the corresponding solutions have been given in . To ensure data confidentiality in cloud, the data are usually encrypted, but encrypted data storage makes data utilization difficult .…”

Section: Introductionmentioning

confidence: 99%

Centralized keyword search on encrypted data for cloud applications

Jiang

Guo

et al. 2016

Security Comm Networks

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Centralized approaches are widely adopted to improve the qualities of outsourced services owing to its feature of efficient system management. Because the cloud is untrusted, data are usually encrypted before outsourcing. One of the interesting applications is searchable encrypted keywords, a well‐known cryptographic primitive that allows encryption while enabling search for keywords. However, achieving data retrieval without revealing privacy in a cloud‐based centralized system is still a challenging problem. In this paper, we introduce centralized approaches to searchable encryption and present a novel centralized system for retrieval services. In our system, the centralized manager can search and access all the encrypted data from authorized users, while each user can only search and access his or her own data. The system builds on a new cryptographic notion called centralized keyword search on encrypted data. We formalize its security model and propose a centralized keyword search on encrypted data construction that is featured by short ciphertext and search result verification. We further extend the construction for removing secure channel and enabling batch authentication on data legalities. The experiment demonstrates the performance of our proposals. Copyright © 2016 John Wiley & Sons, Ltd.

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Contaminated areas monitoring via distributed rateless coding with constrained data gathering

Cited by 7 publications

References 11 publications

An Optimized Degree Strategy for Persistent Sensor Network Data Distribution

An Optimized Degree Strategy for Persistent Sensor Network Data Distribution

Prioritized Degree Distribution in Wireless Sensor Networks with a Network Coded Data Collection Method

Centralized keyword search on encrypted data for cloud applications

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