ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks

Qiu, Tie; Zhao, Aoyang; Xia, Feng; Si, Weisheng; Wu, Dapeng

doi:10.1109/tnet.2017.2713530

Cited by 160 publications

(78 citation statements)

References 37 publications

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“…In deep crowd sensing (DCS), there are more detailed requests for the data collection [33][34][35][36][37][38]. First of all, in this aspect of data quality, the demand of sensing data in target area is , which means that the application is of high quality if the collected data is not less than .…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

A Time and Location Correlation Incentive Scheme for Deep Data Gathering in Crowdsourcing Networks

Liu

et al. 2018

Wireless Communications and Mobile Computing

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To tackle the issue in deep crowd sensing, a Time and Location Correlation Incentive (TLCI) scheme is proposed for deep data gathering in crowdsourcing networks. In TLCI scheme, a metric named "Quality of Information Satisfaction Degree" (QoISD) is to quantify how much collected sensing data can satisfy the application's QoI requirements mainly in terms of data quantity and data coverage. Two incentive algorithms are proposed to satisfy QoISD with different view. The first algorithm is to ensure that the application gets the specified sensing data to maximize the QoISD. Thus, in the first incentive algorithm, the reward for data sensing is to maximize the QoISD. The second algorithm is to minimize the cost of the system while meeting the sensing data requirement and maximizing the QoISD. Thus, in the second incentive algorithm, the reward for data sensing is to maximize the QoISD per unit of reward. Finally, we compare our proposed scheme with existing schemes via extensive simulations. Extensive simulation results well justify the effectiveness of our scheme. The QoISD can be optimized by 81.92%, and the total cost can be reduced by 31.38%.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

A Time and Location Correlation Incentive Scheme for Deep Data Gathering in Crowdsourcing Networks

Liu

et al. 2018

Wireless Communications and Mobile Computing

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“…Encounter record maintenance is not scalable, it is vulnerable to injection attacks. Li's developed a mitigating routing scheme [15] in which a node's behavior is always monitored by a contact node. Contact node is responsible for the overall functionality of a network.…”

Section: Related Workmentioning

confidence: 99%

“…In this architecture path N7-N6 is malicious node, i.e., when node 7 transmits the data packets to node 6 the packets are dropped, Unlike our existing approaches [14], [15], [16], the proposed ASF-KF leads to block the further transmission paths in DTN architecture. If a transmission founded to be a leakage, it raises alert to the source and it identifies an alternate path based on adaptive SCM node construction methodology, which is discussed in 3.1 so our proposed ASF-KF can effectively calculate the statistical analysis to each transmission.…”

Section: Asf-kf Against Data Injectionmentioning

confidence: 99%

An energy efficient flexible delay tolerant network with adaptive secured framework (ASF-DTN)

Dhanabal

D³

2018

IJET

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Delay tolerant networks are widely used in mobile communications because of network withstanding capability of delay. However, when the connectivity of nodes increases, data loss may occur while transmission. Due to the malicious behavior of nodes the data may get permanently lost, which is known as black hole attacks and there is a chance to partial data loss because of the lower energy level of a node, which is known as a gray hole attack. In existing work, the data capacity of a node is not limited, so most of the highly energy efficient node contains a huge amount of data, when compared to other nodes which may lead to random attack. To overcome this, we propose a subjective capability model (SCM) for each and every node to limit the capacity of each node. ASF-DTN prevents collision attack and injection attack by implementing Kalman filtering, which can statistically analyze the behavior of nodes while each and every transmission. Here, we propose an effective node optimization scheme using genetic algorithm with a fitness function to find out energy efficient nodes among the optimal path for effective communication and its performance.

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“…Reddy et al in [8] designed a novel routing protocol to solve the survivability protection problem against multi-path failures within a minimum packet redundancy restriction. References [9][10][11][12][13] focus on fault-tolerant issues while considering node placement, topology control, and the routing algorithm. Regarding the design of survivability mechanisms in wireless multi-hop networks, researchers have conducted exploratory work with various optimization objectives during the past few years.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Network Coding-Based Fault-Tolerant Mechanism in WBAN for Smart Healthcare Monitoring Systems

et al. 2017

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Abstract:As a key technology in smart healthcare monitoring systems, wireless body area networks (WBANs) can pre-embed sensors and sinks on body surface or inside bodies for collecting different vital signs parameters, such as human Electrocardiograph (ECG), Electroencephalograph (EEG), Electromyogram (EMG), body temperature, blood pressure, blood sugar, blood oxygen, etc. Using real-time online healthcare, patients can be tracked and monitored in normal or emergency conditions at their homes, hospital rooms, and in Intensive Care Units (ICUs). In particular, the reliability and effectiveness of the packets transmission will be directly related to the timely rescue of critically ill patients with life-threatening injuries. However, traditional fault-tolerant schemes either have the deficiency of underutilised resources or react too slowly to failures. In future healthcare systems, the medical Internet of Things (IoT) for real-time monitoring can integrate sensor networks, cloud computing, and big data techniques to address these problems. It can collect and send patient's vital parameter signal and safety monitoring information to intelligent terminals and enhance transmission reliability and efficiency. Therefore, this paper presents a design in healthcare monitoring systems for a proactive reliable data transmission mechanism with resilience requirements in a many-to-one stream model. This Network Coding-based Fault-tolerant Mechanism (NCFM) first proposes a greedy grouping algorithm to divide the topology into small logical units; it then constructs a spanning tree based on random linear network coding to generate linearly independent coding combinations. Numerical results indicate that this transmission scheme works better than traditional methods in reducing the probability of packet loss, the resource redundant rate, and average delay, and can increase the effective throughput rate.

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ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks

Cited by 160 publications

References 37 publications

A Time and Location Correlation Incentive Scheme for Deep Data Gathering in Crowdsourcing Networks

A Time and Location Correlation Incentive Scheme for Deep Data Gathering in Crowdsourcing Networks

An energy efficient flexible delay tolerant network with adaptive secured framework (ASF-DTN)

An Efficient Network Coding-Based Fault-Tolerant Mechanism in WBAN for Smart Healthcare Monitoring Systems

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