A survey on the privacy-preserving data aggregation in wireless sensor networks

Xu, Jian; Yang, Geng; Chen, Zhengyu; Wang, Qianqian

doi:10.1109/cc.2015.7112038

Cited by 46 publications

(30 citation statements)

References 30 publications

(36 reference statements)

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“…In our model, in order to maximize the lifetime of a network, the network may select i CCS until the energy consumption of i CCS reaches the threshold. Formula (16) and formula (17) describe the update method of global pheromone:…”

Section: Energy Consumption Balancing Inside the Cooperative Coveragementioning

confidence: 99%

“…In formula (16) and formula 17, we denote Q as the sum of pheromone for an ant. best L is the length of the best path and RHQ is the attenuation rate of pheromone.…”

Section: Energy Consumption Balancing Inside the Cooperative Coveragementioning

confidence: 99%

“…Song et al [15] proposes a coverage-aware unequal clustering protocol with load separation for ambient assisted living applications based on WSNs to achieve better performance and balance energy consumption for prolonging network lifetime. Xu et al [16] widely discusses the energy consumption saving on the privacypreserving data aggregation in WSNs by reducing communication overhead and energy expenditure of sensors. Li et al [17] proposes a data compression algorithm to enhance the lifetime of sensors in sea route monitoring system.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

Shao

Zhang

et al. 2020

Preprint

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To take full advantage of the flexibility of access and disconnection from smart grid, organizing distributed renewable energy resources in form of microgrid becomes one solution of energy replenishment in smart grid. A large amount of accurate and comprehensive information data are needed to be monitored by a variety of different types of sensors to guarantee the effective operation of this kind of microgrid. Energy consumption of microgrid monitoring WSN consequently becomes an issue. This paper presents a novel lifetime prolongation algorithm based on cooperative coverage of different types of sensors. Firstly, according to the requirements of monitoring business, the construction of cooperative coverage sets and connected monitoring WSN are discussed. Secondly, energy consumption is analyzed based on cooperative coverage. Finally, the cooperative coverage based lifetime prolongation algorithm (CC-LP) is proposed. Both the energy consumption balancing inside the cooperative coverage set and the switching scheduling between cooperative coverage sets are discussed. Then we draw into an improved ant colony optimization algorithm to calculate the switching scheduling. Simulation results show that this novel algorithm can effectively prolong the lifetime of monitoring WSN, especially in the monitoring area with a large deployed density of different types of sensors.

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Section: Energy Consumption Balancing Inside the Cooperative Coveragementioning

confidence: 99%

“…In formula (16) and formula 17, we denote Q as the sum of pheromone for an ant. best L is the length of the best path and RHQ is the attenuation rate of pheromone.…”

Section: Energy Consumption Balancing Inside the Cooperative Coveragementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

Shao

Zhang

et al. 2020

Preprint

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“…Such technologies as symmetric encryption, elliptic curve encryption, and data segmentation have been developed for privacy protection during data acquisition in wireless sensor networks [7]. Based on blind signature technology, Xu et al [7] proposed a data collection framework with privacy protection capability in smart grids based on a key distribution framework that effectively protects the user's private data. However, the above privacy protection frameworks have limitations and security defects, such as key propagation and a large overhead for encryption and decryption calculations.…”

Section: Introductionmentioning

confidence: 99%

D2D Big Data Privacy‐Preserving Framework Based on (a, k)‐Anonymity Model

Wang

Feng

et al. 2019

Mathematical Problems in Engineering

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As a novel and promising technology for 5G networks, device-to-device (D2D) communication has garnered a significant amount of research interest because of the advantages of rapid sharing and high accuracy on deliveries as well as its variety of applications and services. Big data technology offers unprecedented opportunities and poses a daunting challenge to D2D communication and sharing, where the data often contain private information concerning users or organizations and thus are at risk of being leaked. Privacy preservation is necessary for D2D services but has not been extensively studied. In this paper, we propose an (a, k)anonymity privacy-preserving framework for D2D big data deployed on MapReduce. Firstly, we provide a framework for the D2D big data sharing and analyze the threat model. en, we propose an (a, k)-anonymity privacy-preserving framework for D2D big data deployed on MapReduce. In our privacy-preserving framework, we adopt (a, k)-anonymity as privacy-preserving model for D2D big data and use the distributed MapReduce to classify and group data for massive datasets. e results of experiments and theoretical analysis show that our privacy-preserving algorithm deployed on MapReduce is effective for D2D big data privacy protection with less information loss and computing time.

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“…The node senses, and then forward the sensed data into the communication network through a gateway. Nodes are resource-limited equipment regarding memory and computational capabilities and also energy capacity [4].…”

Section: Introductionmentioning

confidence: 99%

Wireless sensor network design for landslide warning system in IoT architecture

Sofwan

Sumardi

Ridho

et al. 2017

2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

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Landslide disaster is frequently happened in Indonesia, which has climate characteristic, area topography, and geological structure that make this country has many landslide potential areas. During the rainy season, the load on the slopes grows due to the increase in water content in the soil, which can lead to landslide. Landslide early warning system can be built based on geological structure and some physical environment parameters using sensors using the wireless sensor network. The communication networks with Internet technology support a substantial backbone for communication. IoT architecture can accommodate wireless sensor network for landslide early warning system. This paper describes the system uses an Arduino ATMega 2560 microcontroller to collect data from many sensors. The measured and actual physical parameters are obtained, which indicates the system succeeds in providing sensed data.

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A survey on the privacy-preserving data aggregation in wireless sensor networks

Cited by 46 publications

References 30 publications

Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

D2D Big Data Privacy‐Preserving Framework Based on (a, k)‐Anonymity Model

Wireless sensor network design for landslide warning system in IoT architecture

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