Heuristic Optimization of Wireless Sensor Networks Using Social Network Analysis

2015 ◽  
pp. 663-671 ◽  
Author(s):  
Alexandru Iovanovici ◽  
Alexandru Topirceanu ◽  
Cristian Cosariu ◽  
Mihai Udrescu ◽  
Lucian Prodan ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Social Network ◽  
Sensor Networks ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Wireless Sensor ◽  
Heuristic Optimization

A New Localization Technique for Wireless Sensor Networks Using Social Network Analysis

2017 ◽  
Vol 42 (7) ◽  
pp. 2817-2827 ◽  
Author(s):  
Mohammed Farrag ◽  
Mohammed Abo-Zahhad ◽  
M. M. Doss ◽  
Joseph V. Fayez
Keyword(s):  
Wireless Sensor Networks ◽  
Social Network ◽  
Sensor Networks ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Wireless Sensor ◽  
Localization Technique

Social Network Routing with Caching in Delay Tolerant Wireless Sensor Networks

2018 ◽  
Vol 15 (6) ◽  
pp. 2046-2049
Author(s):  
J. S. Femilda Josephin ◽  
U. V Arivazhagu ◽  
U. V Anbazhagu
Keyword(s):  
Wireless Sensor Networks ◽  
Social Network ◽  
Sensor Networks ◽  
Network Routing ◽  
Wireless Sensor ◽  
Delay Tolerant

scholarly journals Optimal Task Allocation in Wireless Sensor Networks by Means of Social Network Optimization

Mathematics ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 315 ◽  
Author(s):  
Alessandro Niccolai ◽  
Francesco Grimaccia ◽  
Marco Mussetta ◽  
Riccardo Zich
Keyword(s):  
Wireless Sensor Networks ◽  
Social Network ◽  
Sensor Networks ◽  
Network Optimization ◽  
Task Allocation ◽  
Life Cycles ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Computational Time ◽  
Minimum Number

Wireless Sensor Networks (WSN) have been widely adopted for years, but their role is growing significantly currently with the increase of the importance of the Internet of Things paradigm. Moreover, since the computational capability of small-sized devices is also increasing, WSN are now capable of performing relevant operations. An optimal scheduling of these in-network processes can affect both the total computational time and the energy requirements. Evolutionary optimization techniques can address this problem successfully due to their capability to manage non-linear problems with many design variables. In this paper, an evolutionary algorithm recently developed, named Social Network Optimization (SNO), has been applied to the problem of task allocation in a WSN. The optimization results on two test cases have been analyzed: in the first one, no energy constraints have been added to the optimization, while in the second one, a minimum number of life cycles is imposed.

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