Classification of Wireless Sensor Networks Deployment Techniques

Deif, Dina S.; Gadallah, Yasser

doi:10.1109/surv.2013.091213.00018

Cited by 175 publications

(68 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Programmable implementation is appropriate for a wide range of WSN applications. In some environments, it is not possible to present there and install the sensor in specified location; therefore random placement of sensors in environment is only possible solution [15,16].…”

Section: Initial Sensor Placementmentioning

confidence: 99%

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Farahani¹

2017

IJWMN

View full text Add to dashboard Cite

show abstract

Section: Initial Sensor Placementmentioning

confidence: 99%

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Farahani¹

2017

IJWMN

View full text Add to dashboard Cite

show abstract

“…According to the method adopted, approaches for sensor deployment can be classified into three categories: virtual force based [4,5], grid-based [6,7] and computational geometry based [8,9]. In many cases, non-uniform detection requirements must be considered according to the importance of the surveillance area.…”

Section: Related Workmentioning

confidence: 99%

Sensor Network Deployment under Distance Uncertainty with Robust Optimization

Qiao¹,

Liu²,

Zhang³

et al. 2015

Int. J. Onl. Eng.

View full text Add to dashboard Cite

Abstract-We consider the sensor deployment problem in the context of distance uncertainty. It is characterized by differentiated arrangement of specific detection probability thresholds at different locations. The problem is formulated as an integer linear programming (ILP) model firstly, aiming at optimizing the number of sensors and their locations. Based on the robust discrete optimization methodology, the uncertain model is transformed into an equivalent ILP problem considering distance uncertainty. The proposed approach can control the tradeoff between optimality and robustness by varying the parameters named protection levels. Uniform and non-uniform event detection probabiliy distributions are considered in the experiment. The results show that, as the distance uncertainty increases, the constraint violation can be avoided in the robust model and the robust solution can provide a significant improvement at the expense of a small loss in optimality when compared to the optimal solution of a deterministic scenario.

show abstract

“…However, the distribution scale and the number of deployable wireless sensor nodes of WSNs are far beyond the Ad-Hoc networks, which greatly enhance their data collection capability. Therefore, the application range of WSNs is becoming increasingly extensive, and related research fields have also become one of the hotspots at present [5][6] [7]. Security system, which guarantees the stable and normal operation of the WSN system, is an important part of WSNs.…”

Section: Introductionmentioning

confidence: 99%

Security Analysis of the Authentication Schemes Based on Wireless Sensor Networks

Yu¹,

Hu²

2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

View full text Add to dashboard Cite

Abstract. As one of the basic technologies for building Internet of Things, wireless sensor networks (WSNs) are a hot research topic at present. In this paper, two basic structures of WSNs are described briefly, and the current security situation and security risks of WSNs are introduced. Then, this paper summarizes several mainstream ways of attacking identity authentication schemes that are applied to WSNs, including smart card theft, wireless sensor node capture, vampire attack and collusion attack, and presents some defensive measures. Finally, attacking principles of these attack methods are summarized, and some improvements are put forward.

show abstract

Classification of Wireless Sensor Networks Deployment Techniques

Cited by 175 publications

References 61 publications

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Sensor Network Deployment under Distance Uncertainty with Robust Optimization

Security Analysis of the Authentication Schemes Based on Wireless Sensor Networks

Contact Info

Product

Resources

About