scholarly journals Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 41 ◽  
Author(s):  
Fei Fan ◽  
Qiaoling Ji ◽  
Gongping Wu ◽  
Man Wang ◽  
Xuhui Ye ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Smart Grid ◽  
Sensor Network ◽  
Transmission Lines ◽  
Network Performance ◽  
Wireless Sensor ◽  
Barrier Coverage ◽  
Grid Monitoring ◽  
Inspection Robots

The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wireless sensor network. To establish an effective smart grid monitoring system, this research focuses on the design of an effective and safe dynamic network coverage and network nodes deployment method. Multiple simulation scenarios are implemented to explore the variation of network performance with different parameters. In addition, the dynamic barrier coverage method for the actual scene of smart grid monitoring considers the balance between network performance and financial costs.

scholarly journals Wireless sensor network coverage optimization based on whale group algorithm

2018 ◽  
Vol 15 (3) ◽  
pp. 569-583 ◽  
Author(s):  
Lei Wang ◽  
Weihua Wu ◽  
Junyan Qi ◽  
Zongpu Jia
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Network Performance ◽  
Mathematic Model ◽  
Initial Distribution ◽  
Wireless Sensor ◽  
Network Coverage ◽  
Coverage Optimization

For all of types of applications in wireless sensor networks (WSNs), coverage is a fundamental and hot topic research issue. To monitor the interest field and obtain the valid data, the paper proposes a wireless sensor network coverage optimization model based on improved whale algorithm. The mathematic model of node coverage in wireless sensor networks is developed to achieve full coverage for the interest area. For the model, the idea of reverse learning is introduced into the original whale swarm optimization algorithm to optimize the initial distribution of the population. This method enhances the node search capability and speeds up the global search. The experiment shows that this algorithm can effectively improve the coverage of nodes in wireless sensor networks and optimize the network performance.

scholarly journals Node importance measure in linear wireless sensor networks

2016 ◽  
Vol 8 (12) ◽  
pp. 168781401668239 ◽  
Author(s):  
Ning Wang ◽  
Yingbin Fu ◽  
Jiao Zhao ◽  
Liwei Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Network Performance ◽  
Data Flow ◽  
Relay Node ◽  
Wireless Sensor ◽  
Importance Measure ◽  
Node Importance

This article analyzes the node importance in linear wireless sensor networks, which can be used to identify the key states of nodes that affect the wireless sensor network performance most. First, the sensor energy can be divided into energy of sensing event, energy of transmitting packets, and energy of receiving packets. The node residual energy of after data flow transmission in linear wireless sensor networks from source nodes and relay nodes is evaluated. Second, the node state is divided into four states based on the data packets transmitting. From the view of reliability theory, a data-flow model is analyzed to calculate the state probability of source node and relay node in the time period [0, t]. Third, the node importance is analyzed, and the ranking of node importance values can be used by designers and managers to identify the most important node for improving the wireless sensor network system reliability. At last, a numerical example is given to demonstrate the proposed methods.

WIRELESS SENSOR NETWORK PERFORMANCE ANALYSIS AND EFFECT OF BLACKHOLE AND SINKHOLE ATTACKS

2016 ◽  
Vol 78 (4-3) ◽  
Author(s):  
Raja Waseem Anwar ◽  
Majid Bakhtiari ◽  
Anazida Zainal ◽  
Kashif Naseer Qureshi
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Network Performance ◽  
Wireless Sensor ◽  
Security Threats ◽  
Security Attacks ◽  
Simulation Results ◽  
Sink Hole

The widespread usage of Wireless sensor networks in various fields and application make it vulnerable to variety of security threats and attacks. These security attacks occur when an adversary compromised a sensor node by inject false measurements and divert real time network traffic. Sinkhole and Blackhole attacks are very common attacks in network, where an attacker advertises un-authorized routing update in network. To deal with these types of attacks, there is a need to tighten the network security and prevent from attackers. In this study, we discuss security threats and presents the effects of Black and Sink hole attacks. Further, the study presents related work and current issues in wireless sensor network. The simulation results illustrated that, how these attacks affect the network performance. 

scholarly journals Dynamic Network Topology Control of Branch-Trimming Robot for Transmission Lines

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 549 ◽  
Author(s):  
Man Wang ◽  
Gongping Wu ◽  
Fei Fan ◽  
Qiaoling Ji ◽  
Wenshan He ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Topology ◽  
Transmission Lines ◽  
Topology Control ◽  
Network Performance ◽  
Control Method ◽  
Dynamic Network ◽  
Wireless Sensor ◽  
Multi Robot

With the development of engineering technology, the distributed design-based Branch-Trimming Robot (BTR) has been used to ensure the power supply security of transmission lines. However, it remains difficult to combine distributed BTRs with a wireless sensor network to build an efficient multi-robot system. To achieve this combination, a dynamic network topology control method was proposed, combining the motion characteristics of robots with the structure of a distributed wireless sensor network. In addition, a topology-updating mechanism based on node signal strength was adopted as well. To achieve efficient data transmission for distributed multi-robot systems, the present study focused on the design of a distributed network model and a dynamic network topology control strategy. Several simulation and test scenarios were implemented, and the changes of network performance under different parameters were studied. Furthermore, the real scene-based dynamic topology control method considers the relationship between network performance and antenna layout.

SE: A Simple and Efficient Strategy for Clustering and Routing in WSN

2014 ◽  
Vol 701-702 ◽  
pp. 1025-1028
Author(s):  
Yu Zhu Liang ◽  
Meng Jiao Wang ◽  
Yong Zhen Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Information Needs ◽  
Network Performance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Clustering Method ◽  
Position Information ◽  
Two Parameters

Clustering the sensor nodes and choosing the way for routing the data are two key elements that would affect the performance of a wireless sensor network (WSN). In this paper, a novel clustering method is proposed and a simple two-hop routing model is adopted for optimizing the network layer of the WSN. New protocol is characterized by simplicity and efficiency (SE). During the clustering stage, no information needs to be shared among the nodes and the position information is not required. Through adjustment of two parameters in SE, the network on any scale (varies from the area and the number of nodes) could obtain decent performance. This work also puts forward a new standard for the evaluation of the network performance—the uniformity of the nodes' death—which is a complement to merely taking the system lifetime into consideration. The combination of these two aspects provides a more comprehensive guideline for designing the clustering or routing protocols in WSN.

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 

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