An Untraceable Data Sharing Scheme in Wireless Sensor Networks

With the wide application of wireless sensor networks (WSNs), secure data sharing in networks is becoming a hot research topic and attracting more and more attention. A huge challenge is securely transmitting the data from the source node to the sink node. Except for eavesdropping the information stored in the packages, the adversary may also attempt to analyze the contextual information of the network to locate the source node. In this paper, we proposed a secure data sharing approach to defend against the adversary. Specifically, we first design a secret key mechanism to guarantee the security of package delivery between a pair of nodes. Then, a light-weighted secret sharing scheme is designed to map the original message to a set of shares. Finally, the shares are delivered to the sink node independently based on a proper random routing algorithm. Simulation results illustrate that our approach can defend against the eavesdropping and tracing-back attack in an energy-efficient manner.

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An Opportunistic Large Array Concentric Geographic Routing Algorithm with a Relay Node in Wireless Sensor Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.764-765.838 ◽

2015 ◽

Vol 764-765 ◽

pp. 838-842

Author(s):

Young Long Chen ◽

Yung Chi Chang ◽

Yu Ling Zeng

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Routing Algorithm ◽

Geographic Routing ◽

Sensor Nodes ◽

Source Node ◽

Wireless Sensor ◽

Sink Node ◽

Large Array

Wireless sensor networks (WSNs) are a group of wireless sensor nodes, those sensor nodes with sensing and monitoring of environmental information. Energy consumption is an important topic; the node's power is limited. Therefore, we proposed an Opportunistic Large Array Concentric Geographic Routing Algorithm (OLACGRA) to reduce the node’s energy consumption and analysis the characteristic of energy model. The sink position of our proposed OLACGRA is at the center of concentric topology architecture. The source node wants to transmit data that it needs to calculate the distance between source node and sink node. If this distance bigger than threshold value, we use the multi-hop manner. Otherwise, source node transmits data to sink node directly. Simulation results show that our proposed algorithm can effectively reduce the node’s energy consumption.

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A Restricted Multipath Routing Algorithm in Wireless Sensor Networks Using a Virtual Cylinder: Bypassing Black hole and Selective Forwarding Attacks

UHD Journal of Science and Technology ◽

10.21928/uhdjst.v3n2y2019.pp51-58 ◽

2019 ◽

Vol 3 (2) ◽

pp. 51

Author(s):

Elham Bahmani ◽

Aso Mohammad Darwesh Darwesh ◽

Mojtaba Jamshidi ◽

Somaieh Bali

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Routing Algorithm ◽

Source Node ◽

Wireless Sensor ◽

Sink Node ◽

Packet Delivery ◽

Selective Forwarding ◽

Routing Method

In this paper, a simple and novel routing algorithm is presented to improve the packet delivery in harsh conditions such as selective forwarding and blackhole attacks to the wireless sensor networks. The proposed algorithm is based on restricted multi-path broadcast based on a virtual cylinder from the source node to the sink node. In this algorithm, when a packet is broadcast by a source node, a virtual cylinder with radius w is created from the source node to a sink node. All the nodes located in this virtual cylinder are allowed to forwardthe packet to the sink. Thus, data is forwarded to sink via multiple paths, but in a restricted manner so that the nodes do not consume a high amount of energy. If there are some compromised nodes in this virtual cylinder, the packets may be forwarded to the sink via other nodes of the virtual cylinder. The proposed algorithm is simulated and evaluated in terms of packet delivery rate and energy consumption. The experiment results show that the proposed algorithm increases packet delivery rate 7 times compared to the single-path routing method and reduces energy consumption up to three times compared to flooding routing method.

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A Secure Authentication and Data Sharing Scheme for Wireless Sensor Networks based on Blockchain

10.1109/iscc53001.2021.9631439 ◽

2021 ◽

Author(s):

Asad Ullah Khan ◽

Nadeem Javaid ◽

Jalel Ben Othman

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Sharing ◽

Wireless Sensor ◽

Sharing Scheme ◽

Secure Authentication

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Cluster-based Energy-aware Data Sharing Scheme to Support a Mobile Sink in Solar-Powered Wireless Sensor Networks

Journal of KIISE ◽

10.5626/jok.2015.42.11.1430 ◽

2015 ◽

Vol 42 (11) ◽

pp. 1430-1440

Author(s):

Hong Seob Lee ◽

Jun Min Yi ◽

Jaeung Kim ◽

Dong Kun Noh

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Sharing ◽

Mobile Sink ◽

Wireless Sensor ◽

Energy Aware ◽

Sharing Scheme ◽

Solar Powered

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Energy Efficient Group Based Linear Wireless Sensor Networks for Application in Pipeline Monitoring

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327910999200614002236 ◽

2020 ◽

Vol 10 ◽

Author(s):

Chinedu Duru ◽

Neco Ventura ◽

Mqhele Dlodlo

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Remote Monitoring ◽

Linear Array ◽

Minimum Energy ◽

Sensor Nodes ◽

Wireless Sensor ◽

Sink Node ◽

Pipeline Monitoring

Background: Wireless Sensor Networks (WSNs) have been researched to be one of the ground-breaking technologies for the remote monitoring of pipeline infrastructure of the Oil and Gas industry. Research have also shown that the preferred deployment approach of the sensor network on pipeline structures follows a linear array of nodes, placed a distance apart from each other across the infrastructure length. The linear array topology of the sensor nodes gives rise to the name Linear Wireless Sensor Networks (LWSNs) which over the years have seen themselves being applied to pipelines for effective remote monitoring and surveillance. This paper aims to investigate the energy consumption issue associated with LWSNs deployed in cluster-based fashion along a pipeline infrastructure. Methods: Through quantitative analysis, the study attempts to approach the investigation conceptually focusing on mathematical analysis of proposed models to bring about conjectures on energy consumption performance. Results: From the derived analysis, results have shown that energy consumption is diminished to a minimum if there is a sink for every placed sensor node in the LWSN. To be precise, the analysis conceptually demonstrate that groups containing small number of nodes with a corresponding sink node is the approach to follow when pursuing a cluster-based LWSN for pipeline monitoring applications. Conclusion: From the results, it is discovered that energy consumption of a deployed LWSN can be decreased by creating groups out of the total deployed nodes with a sink servicing each group. In essence, the smaller number of nodes each group contains with a corresponding sink, the less energy consumed in total for the entire LWSN. This therefore means that a sink for every individual node will attribute to minimum energy consumption for every non-sink node. From the study, it can be concurred that energy consumption of a LWSN is inversely proportional to the number of sinks deployed and hence the number of groups created.

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