A New Approach Based on Intelligent Water Drops Algorithm for Node Selection in Service-Oriented Wireless Sensor Networks

2014 ◽  
Author(s):  
Ahmadreza Vajdi ◽  
Gongxuan Zhang ◽  
Yongli Wang ◽  
Yang Zhao ◽  
Dongmei Liu ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Node Selection ◽  
New Approach ◽  
Service Oriented ◽  
Intelligent Water Drops Algorithm ◽  
Water Drops ◽  
Intelligent Water Drops

WSN Networking Protocol Based on Dynamic Changing Channel

2010 ◽  
Vol 44-47 ◽  
pp. 844-848
Author(s):  
Yu Jiang ◽  
Yan Chun Liang ◽  
Li Li He ◽  
Ying Hui Cao ◽  
Cheng Quan Hu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Communication Channel ◽  
Public Utilities ◽  
Wireless Sensor ◽  
Network Congestion ◽  
New Approach ◽  
The Public ◽  
Change Communication ◽  
Program Complexity

Based on the analysis of the wireless sensor networks in the application of the public utilities, a new approach which can change channel dynamically in buildings using wireless sensor networks was designed and implemented. In this paper, the WSN platform supported for AES encryption. And on the basis of the TDMA protocol, using linear regression and BBS generator, a new WSN protocol which has the ability to change communication channel dynamically was designed. Compared with traditional network protocols, the proposed method can decrease the degree of network congestion, energy consumption, program complexity and easy to achieve.

scholarly journals Efficient Node and Sensed Module Management for Multisensory Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2328 ◽  
Author(s):  
Juan Feng ◽  
Xiaozhu Shi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Management Strategies ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Node Selection ◽  
Information Utility ◽  
Save Energy ◽  
Selection Of

In target tracking wireless sensor networks, choosing a part of sensor nodes to execute tracking tasks and letting the other nodes sleep to save energy are efficient node management strategies. However, at present more and more sensor nodes carry many different types of sensed modules, and the existing researches on node selection are mainly focused on sensor nodes with a single sensed module. Few works involved the management and selection of the sensed modules for sensor nodes which have several multi-mode sensed modules. This work proposes an efficient node and sensed module management strategy, called ENSMM, for multisensory WSNs (wireless sensor networks). ENSMM considers not only node selection, but also the selection of the sensed modules for each node, and then the power management of sensor nodes is performed according to the selection results. Moreover, a joint weighted information utility measurement is proposed to estimate the information utility of the multiple sensed modules in the different nodes. Through extensive and realistic experiments, the results show that, ENSMM outperforms the state-of-the-art approaches by decreasing the energy consumption and prolonging the network lifetime. Meanwhile, it reduces the computational complexity with guaranteeing the tracking accuracy.

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