Optimization coverage conserving protocol with authentication in wireless sensor networks

Sun, Zeyu; Long-xing, LI; Li, Xuelun; Xing, Xiaofei; Li, Yuanbo

doi:10.1177/1550147717695561

Cited by 7 publications

(4 citation statements)

References 27 publications

(36 reference statements)

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“…Wireless sensor networks are mainly used in engineering fields such as military and national defences, industrial control, remote monitoring, environmental monitoring, medical monitoring, and intelligent transportation [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Sun

Liao

et al. 2021

Security and Communication Networks

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In order to better improve the reliability of data transmission and extend the network lifetime, the paper proposes the Sensing Clustering Routing Algorithm Based on Collaborative Computing (SCR-CC). The proposed algorithm uses the characteristics of the perceptual radius, which obey the normal distribution, and gives the process of completing the expected value of the data transmission of any two nodes in the cluster. Secondly, the paper analysed the necessary conditions of the existence for the expected value of the number of neighbour nodes when the redundant nodes are closed and the working nodes meet arbitrary differences. Thirdly, the cluster angle formed by the base station and the cluster is used to optimize the clustering structure and complete the dynamic clustering process to achieve the energy balance of the entire network. Finally, the simulation experiments show that the proposed SCR-CC algorithm compared with the other three algorithms reduces the number of failed nodes by 11.37% on average and increases the network lifetime by 27.09% on average; therefore, the efficiency and effectiveness of the SCR-CC algorithm are verified.

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Section: Introductionmentioning

confidence: 99%

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Sun

Liao

et al. 2021

Security and Communication Networks

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“…With the rapid progress in wireless big data, a lot of wireless techniques have been proposed to enhance the transmission quality and reliability [1][2][3][4][5][6][7][8][9][10]. Cooperative relaying, such as amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols, is an effective means to enhance network reliability as well as security [11,12], extend coverage region [13,14], and reduce the impact of interference [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Cache Aided Decode-and-Forward Relaying Networks: From the Spatial View

Xia

Zhou

Lai

et al. 2018

Wireless Communications and Mobile Computing

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We investigate cache technique from the spatial view and study its impact on the relaying networks. In particular, we consider a dual-hop relaying network, where decode-and-forward (DF) relays can assist the data transmission from the source to the destination. In addition to the traditional dual-hop relaying, we also consider the cache from the spatial view, where the source can prestore the data among the memories of the nodes around the destination. For the DF relaying networks without and with cache, we study the system performance by deriving the analytical expressions of outage probability and symbol error rate (SER). We also derive the asymptotic outage probability and SER in the high regime of transmit power, from which we find the system diversity order can be rapidly increased by using cache and the system performance can be significantly improved. Simulation and numerical results are demonstrated to verify the proposed studies and find that the system power resources can be efficiently saved by using cache technique.

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“…Different from traditional data aggregation techniques, the compressed sensing is suitable for the data aggregation in WSNs for the following reasons [ 8 , 9 , 10 ]. First of all, it exhibits the remarkable data compression performance and the data gathering and compression can be accomplished simultaneously.…”

Section: Introductionmentioning

confidence: 99%

CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks

Sun

Liu

et al. 2018

Sensors

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When the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved. The existing Compressed Sensing (CS) based on data aggregation schemes are accomplished in a centralized manner and the Sink node achieves the task of data aggregation. However, these existing schemes may suffer from load imbalance and coverage void issues. In order to address these problems, we propose a Compressed Sensing based on Fault-tolerant Correcting Data Aggregation (CS-FCDA) scheme to accurately reconstruct the compressed data. Therefore, the network communication overhead can be greatly reduced while maintaining the quality of the reconstructed data. Meanwhile, we adopt the node clustering mechanism to optimize and balance the network load. It is shown via simulation results, compared with other data aggregation schemes, that the proposed scheme shows obvious improvement in terms of the Fault-tolerant correcting capability and the network energy efficiency of the data reconstruction.

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Optimization coverage conserving protocol with authentication in wireless sensor networks

Cited by 7 publications

References 27 publications

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Cache Aided Decode-and-Forward Relaying Networks: From the Spatial View

CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks

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