A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN

Zhang, Ting; Zhang, Degan; Qiu, Jianning; Zhang, Xiaodan; Zhao, Pengzhen; Gong, Changle

doi:10.1109/access.2019.2921310

Cited by 87 publications

(54 citation statements)

References 55 publications

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“…Its working principle is to train and learn independently by multiple weak learners and then make predictive judgments. The multiple prediction results are finally combined to form a single prediction, and the result of this method is superior to the prediction result of any one of the single learners 62,63 …”

Section: Modeling Of the Methodsmentioning

confidence: 99%

A novel approach of tensor‐based data missing estimation for Internet of Vehicles

Zhang

Gao

et al. 2020

Int J Communication

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Summary In the face of the current huge amount of intelligent traffic data, collecting and statistical processing is a necessary and important process. But the inevitable data missing problem is the current research focus. In this paper, a novel approach of tensor‐based data missing estimation for Internet of Vehicles is proposed for the problem of missing the Internet of Vehicles data: Integrated Bayesian tensor decomposition (IBTD). In the data model construction stage, the random sampling principle is used to randomly extract the missing data to generate a subset of data. And the optimized Bayesian tensor decomposition algorithm is used for interpolation. Introduce the integration idea, analyze, and sort the error results after multiple interpolations, consider the space‐time complexity, and choose the optimal average to get the best result. The performance of the proposed model was evaluated by mean absolute percentage error (MAPE) and root mean square error (RMSE). The experimental results show that the proposed method can effectively interpolate the traffic data sets with different missing quantities and get good interpolation results.

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Section: Modeling Of the Methodsmentioning

confidence: 99%

A novel approach of tensor‐based data missing estimation for Internet of Vehicles

Zhang

Gao

et al. 2020

Int J Communication

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“…In this section, the performance of our proposed approach is evaluated using NS-2 as the simulation tool, and the results are discussed further. [56][57][58][59][60][61][62] Moreover, the proposed ASDA-RSA are compared with CrossLayer, ASDA-BlowFish, ASDA-AES, GA-DoSLD, ASDA-3DES, and ASDA-DES models. It is worth mentioning that all ASDA-RSA, CrossLayer, ASDA-BlowFish, ASDA-AES, GA-DoSLD, ASDA-3DES, and ASDA-DES parameters and settings are considered to be equal.…”

Section: Simulation Setup and Comparing Algorithmsmentioning

confidence: 99%

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Fotohi

Bari

Yusefi

2019

Int J Communication

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Wireless sensor networks (WSNs) have been vastly employed in the collection and transmission of data via wireless networks. This type of network is nowadays used in many applications for surveillance activities in various environments due to its low cost and easy communications. In these networks, the sensors use a limited power source which after its depletion, since it is nonrenewable, network lifetime ends. Due to the weaknesses in sensor nodes, they are vulnerable to many threats. One notable attack threating WSN is Denial of Sleep (DoS). DoS attacks denotes the loss of energy in these sensors by keeping the nodes from going into sleep and energy-saving mode. In this paper, the Abnormal Sensor Detection Accuracy (ASDA-RSA) method is utilized to counteract DoS attacks to reducing the amount of energy consumed. The ASDA-RSA schema in this paper consists of two phases to enhancement security in the WSNs. In the first phase, a clustering approach based on energy and distance is used to select the proper cluster head and in the second phase, the RSA cryptography algorithm and interlock protocol are used here along with an authentication method, to prevent DoS attacks. Moreover, ASDA-RSA method is evaluated here via extensive simulations carried out in NS-2. The simulation results indicate that the WSN network performance metrics are improved in terms of average throughput, Packet Delivery Ratio (PDR), network lifetime, detection ratio, and average residual energy. KEYWORDSASDA-RSA, denial of sleep attack, network lifetime, RSA cryptography, WSNs | INTRODUCTIONNetworks constructed with multiple sensors enables novel applications covering a wide range of areas. However, it is well-known that networks forming from a range of sensors are prone to factors threatening their security. [1][2][3][4] Security is a main research topic in wireless sensor networks (WSNs). The widespread application of WSNs in security sensitive environment, such as military environment, made security considerations a basic requirement. Since nodes are the routing medium in the network, attacking the nodes eradicate the network. As routing is a trust-based operation among the nodes, there exists a good opportunity for attackers to disorder the routing process. These networks are usually formed without pre-planning and are utilized for a short period; hence, security investigations in

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“…In the existing research, most of the existing studies [7], [40]- [45] only consider the node's location information and the residual energy of the node, without considering the quality of the link.…”

Section: Related Workmentioning

confidence: 99%

A New Method of Mobile Ad Hoc Network Routing Based on Greed Forwarding Improvement Strategy

et al. 2019

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In resource-constrained mobile ad hoc network, geographical routing algorithms are relatively attractive routing algorithms. Due to the movement of nodes, energy exhaustion and the presence of obstacles, routing holes may occur. The existing routing algorithm only considers bypassing routing void through right-hand or left-hand criteria, and forwards data at the boundary of the hole. However, such a routing algorithm may lead to the expansion of the routing hole and even cause the paralysis of the network. This paper proposes a new greedy forwarding improvement routing method for mobile ad hoc network. In the greedy forwarding phase, the reliable communication area is calculated, and then the quality of the link is evaluated according to the relative displacement between the nodes and the maintenance time of the link. Then, according to the quality of the link, the distance between the candidate node and the destination node, and the number of the neighbor nodes, the metric value is obtained, and the node with the large metric value is selected as the next hop. When a routing hole occurs, the waiting forwarding mode is used for a period of time. After a period of time, when the current node is still a routing hole node, we can use the right-hand rule and the left-hand criteria, and the bypass mode is performed simultaneously. By considering three factors of the deflection angle and the maintenance time of the link and the remaining energy of the node, the forwarding node as the next hop with the highest priority value is selected in each direction. The experimental results show that compared with the existing GPSR,EMGR and EDGR, the proposed algorithm reduces the energy consumption of the network, improves the delivery rate of data packets, reduces the network delay and prolongs the network lifetime. INDEX TERMS Mobile ad hoc network, greedy forwarding, bypass mode, link quality, energy consumption.

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A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN

Cited by 87 publications

References 55 publications

A novel approach of tensor‐based data missing estimation for Internet of Vehicles

A novel approach of tensor‐based data missing estimation for Internet of Vehicles

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

A New Method of Mobile Ad Hoc Network Routing Based on Greed Forwarding Improvement Strategy

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