Percolation and Scale-Free Connectivity for Wireless Sensor Networks

2015 ◽  
Vol 19 (4) ◽  
pp. 625-628 ◽  
Author(s):  
Yuhui Jian ◽  
Erwu Liu ◽  
Zhengqing Zhang ◽  
Xinyu Qu ◽  
Rui Wang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Scale Free

ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks

2017 ◽  
Vol 25 (5) ◽  
pp. 2944-2959 ◽  
Author(s):  
Tie Qiu ◽  
Aoyang Zhao ◽  
Feng Xia ◽  
Weisheng Si ◽  
Dapeng Oliver Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Scale Free

scholarly journals An Efficient Technique for Enhancing Robustness of Scale-free Wireless Sensor Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 2074-2078
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Efficient Technique ◽  
Single Node ◽  
Business Plans ◽  
Scale Free ◽  
Scale Free Networks ◽  
Paper Work ◽  
Property Assessment

In an age where breaches occurrence is precisely numerous, it is essential to safeguard confidential figures including patron records, intellectual property, assessment and enlargement, prospect business plans, and all sorts of confidential facts more proficiently. It is substantial to administer a network to safeguard information. Cyber mugs tear into information systems, accertion in these attacks leads to node deterioration, hence a structure is obligatory which can combat cyber mugs to shield our information nodes in WSNs. To cope with these attacks we adopt an efficient technique for enhancing robustness of scale-free wireless sensor networks. Scale-free networks are not affected much by random thefts but they become defenseless against malicious theft. To overcome this shortcoming this paper presents an enhanced technique , here we have a MAX node which is enclosed with small rate nodes, each MAX node will be highly secured by adopting ROSE algorithm by altering edges keen on to a closed structure to upgrade robustness of a network . This phenomena is achieved by forming a scale-free topology using basic BA model. In this paper, work is done on two operations that is rate diversity and edge value operations, to mold system further vigorous to malicious attacks. System is further encrypted by providing every single node with a private key in a sub network.

scholarly journals Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Ying Duan ◽  
Xiuwen Fu ◽  
Wenfeng Li ◽  
Yu Zhang ◽  
Giancarlo Fortino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Small World ◽  
Wireless Sensor ◽  
Small World Network ◽  
Scale Free Network ◽  
Theoretical Derivation ◽  
Scale Free ◽  
Cluster Heads ◽  
Free Network

Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. However, currently both theories are not jointly applied to have further improvements in the generation of WSN topologies. Therefore, this paper proposes a cluster-structured evolution model of WSNs considering the characteristics of both networks. With introduction of energy sensitivity and maximum limitation of degrees that a cluster head could have, the performance of our model can be ensured. In order to give an overall assessment of lifting effects of shortcuts, four placement schemes of shortcuts are analyzed. The characteristics of small-world network and scale-free network of our model are proved via theoretical derivation and simulations. Besides, we find that, by introducing shortcuts into scale-free wireless sensor network, the performance of the network can be improved concerning energy-saving and invulnerability, and we discover that the schemes constructing shortcuts between cluster heads and the sink node have better promoted effects than the scheme building shortcuts between pairs of cluster heads, and the schemes based on the preferential principle are superior to the schemes based on the random principle.

scholarly journals Wireless Sensor Networks Topology Model Based on Energy Consumption and Life Cycle

2018 ◽  
Vol 14 (05) ◽  
pp. 81
Author(s):  
Ruo Jia
Keyword(s):  
Wireless Sensor Networks ◽  
Life Cycle ◽  
Energy Consumption ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Scale Free ◽  
Evolving Model ◽  
Improved Model

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Regarding the disadvantages of Wireless Sensor Networks such as random node failure, imbalanced network energy consumption, and shorter life cycle etc., the paper proposes an improved evolving model with an overall integration of fault-tolerance topology and network energy consumption, as a fusion mechanism optimizing the original node degree, generation ability and node distance in the model; it also validates the advantages of the improved model in terms of network life cycle, residual energy of node, node spacing and fault tolerance etc. by comparing the model with the optimized model of traditional sensor. With the establishment of WSNs energy consumption model, the paper evaluates the network life cycle and analyses the influence of node spacing and residual energy of node on WSNs, by adopting which as the fitness functions of the model, a scale-free fault tolerance topology evolving model with link deletion mechanism is constructed. The simulation comparison shows that the topology structure of the improved model has significant scale-free characteristics, a balanced network energy consumption and a long network life cycle; it can also effectively increase the fault tolerance and intrusion tolerance of network.</span>

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