Fog-based storage technology to fight with cyber threat

Wang, Tian; Zhou, Jiyuan; Huang, Minzhe; Bhuiyan, Zakirul Alam; Liu, Anfeng; Xu, Wenzheng; Xie, Mei

doi:10.1016/j.future.2017.12.036

Cited by 78 publications

(46 citation statements)

References 29 publications

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“…Topology control technology is an important and commonly used optimization technique in networks fields [34][35][36][37]. Topology control technology has considerable studies in WSNs [38,39].…”

Section: Related Workmentioning

confidence: 99%

Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection

Teng

Dong

Ota

et al. 2018

Wireless Communications and Mobile Computing

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An Adaptive Transmission Range Based Topology Control (ATRTC) scheme is proposed to reduce delay and improve reliability for data collection in delay and loss sensitive wireless sensor network. The core idea of the ATRTC scheme is to extend the transmission range to speed up data collection and improve the reliability of data collection. The main innovations of our work are as follows:(1) an adaptive transmission range adjustment method is proposed to improve data collection reliability and reduce data collection delay. The expansion of the transmission range will allow the data packet to be received by more receivers, thus improving the reliability of data transmission. On the other hand, by extending the transmission range, data packets can be transmitted to the sink with fewer hops. Thereby the delay of data collection is reduced and the reliability of data transmission is improved. Extending the transmission range will consume more energy. Fortunately, we found the imbalanced energy consumption of the network. There is a large amount of energy remains when the network died. ATRTC scheme proposed in this paper can make full use of the residual energy to extend the transmission range of nodes. Because of the expansion of transmission range, nodes in the network form multiple paths for data collection to the sink node. Therefore, the volume of data received and sent by the near-sink nodes is reduced, the energy consumption of the near-sink nodes is reduced, and the network lifetime is increased as well. (2) According to the analysis in this paper, compared with the CTPR scheme, the ATRTC scheme reduces the maximum energy consumption by 9%, increases the network lifetime by 10%, increases the data collection reliability by 7.3%, and reduces the network data collection time by 23%.

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Section: Related Workmentioning

confidence: 99%

Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection

Teng

Dong

Ota

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

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“…The application of CS was investigated in [2,12] under the clustering routing structure. Since single-hop transmission is employed in the clustering topology, the packet loss on the links does not exhibit the correlation.…”

Section: Related Workmentioning

confidence: 99%

“…For comparison, we also investigate the performances of the Sparsest Random Scheduling (SRS) based CS algorithm [2] and the CDG-SPLM algorithm. It is shown in Figure 4 that the reconstruction error performances of these three algorithms increase with the packet loss ratio while the CS-PLM algorithm outperforms the others.…”

Section: Performance Evaluationmentioning

confidence: 99%

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CS‐PLM: Compressive Sensing Data Gathering Algorithm Based on Packet Loss Matching in Sensor Networks

Sun

Tao

Xiong

2018

Wireless Communications and Mobile Computing

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The data transmission process in Wireless Sensor Networks (WSNs) often experiences errors and packet losses due to the environmental interference. In order to address this problem, we propose a Compressive Sensing data gathering algorithm based on Packet Loss Matching (CS-PLM). It is proven that, under tree routing, the packet loss on communication links would severely undermine the data reconstruction accuracy in Compressive Sensing (CS) based data gathering process. It is further pointed out that the packet loss in CS based data gathering exhibits the correlation effect. Meanwhile, we design a sparse observation matrix based on packet loss matching and verify that the designed matrix satisfies the Restricted Isometry Property (RIP) with a probability arbitrarily close to 1. Therefore, reliable transmission of the compressed data can be guaranteed by adopting the multipath backup routing among CS nodes. It is shown in the simulation results that, with a 60% packet loss ratio of the link, the CS-PLM algorithm can still ensure the effective reconstruction of the data gathered by the CS algorithm and the relative reconstruction error is lower than 5%. Therefore, it is verified that the proposed algorithm could effectively alleviate the sensitivity to packet losses for the CS based data gathering algorithm on unreliable links.

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“…Wireless sensor networks (WSNs) which are composed of inexpensive microprocessors, with the ability of wireless communication, computing, storage and sensing the surrounding environment [1,2,3,4,5], are emerging as promising platforms that enable a wide range of applications in numerous application areas such as smart cities [6], traffic monitoring [7], automation control in factories [8,9], monitoring public facilities, the environment, or weather [10,11,12,13], human health monitoring [14], wildlife protection, military applications and so on [15,16,17,18]. With the development of micro-processing technology, sensor nodes are becoming more and more powerful, while their volume is getting smaller and smaller, the price is getting lower and lower, and their application prospects are becoming more and more widespread [19,20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

Liu

et al. 2018

Sensors

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Due to the Software Defined Network (SDN) technology, Wireless Sensor Networks (WSNs) are getting wider application prospects for sensor nodes that can get new functions after updating program codes. The issue of disseminating program codes to every node in the network with minimum delay and energy consumption have been formulated and investigated in the literature. The minimum-transmission broadcast (MTB) problem, which aims to reduce broadcast redundancy, has been well studied in WSNs where the broadcast radius is assumed to be fixed in the whole network. In this paper, an Adaption Broadcast Radius-based Code Dissemination (ABRCD) scheme is proposed to reduce delay and improve energy efficiency in duty cycle-based WSNs. In the ABCRD scheme, a larger broadcast radius is set in areas with more energy left, generating more optimized performance than previous schemes. Thus: (1) with a larger broadcast radius, program codes can reach the edge of network from the source in fewer hops, decreasing the number of broadcasts and at the same time, delay. (2) As the ABRCD scheme adopts a larger broadcast radius for some nodes, program codes can be transmitted to more nodes in one broadcast transmission, diminishing the number of broadcasts. (3) The larger radius in the ABRCD scheme causes more energy consumption of some transmitting nodes, but radius enlarging is only conducted in areas with an energy surplus, and energy consumption in the hot-spots can be reduced instead due to some nodes transmitting data directly to sink without forwarding by nodes in the original hot-spot, thus energy consumption can almost reach a balance and network lifetime can be prolonged. The proposed ABRCD scheme first assigns a broadcast radius, which doesn’t affect the network lifetime, to nodes having different distance to the code source, then provides an algorithm to construct a broadcast backbone. In the end, a comprehensive performance analysis and simulation result shows that the proposed ABRCD scheme shows better performance in different broadcast situations. Compared to previous schemes, the transmission delay is reduced by 41.11~78.42%, the number of broadcasts is reduced by 36.18~94.27% and the energy utilization ratio is improved up to 583.42%, while the network lifetime can be prolonged up to 274.99%.

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Fog-based storage technology to fight with cyber threat

Cited by 78 publications

References 29 publications

Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection

Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection

CS‐PLM: Compressive Sensing Data Gathering Algorithm Based on Packet Loss Matching in Sensor Networks

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

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