Highly resilient key distribution strategy for multi-level heterogeneous sensor networks by using deployment knowledge

2011 ◽  
Vol 16 (5) ◽  
pp. 593-599 ◽  
Author(s):  
Chih-hung Wang ◽  
Shih-yi Wei
Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2651 ◽  
Author(s):  
Han Shi ◽  
Hai Zhao ◽  
Yang Liu ◽  
Wei Gao ◽  
Sheng-Chang Dou

With the development of the Internet of Battlefield Things (IoBT), soldiers have become key nodes of information collection and resource control on the battlefield. It has become a trend to develop wearable devices with diverse functions for the military. However, although densely deployed wearable sensors provide a platform for comprehensively monitoring the status of soldiers, wearable technology based on multi-source fusion lacks a generalized research system to highlight the advantages of heterogeneous sensor networks and information fusion. Therefore, this paper proposes a multi-level fusion framework (MLFF) based on Body Sensor Networks (BSNs) of soldiers, and describes a model of the deployment of heterogeneous sensor networks. The proposed framework covers multiple types of information at a single node, including behaviors, physiology, emotions, fatigue, environments, and locations, so as to enable Soldier-BSNs to obtain sufficient evidence, decision-making ability, and information resilience under resource constraints. In addition, we systematically discuss the problems and solutions of each unit according to the frame structure to identify research directions for the development of wearable devices for the military.


2011 ◽  
Vol 5 (5) ◽  
pp. 485-495 ◽  
Author(s):  
Nguyen Thi Thanh Huyen ◽  
Minho Jo ◽  
Tien-Dung Nguyen ◽  
Eui-Nam Huh

Author(s):  
Arjan Durresi ◽  
Vijay Bulusu ◽  
Vamsi Paruchuri ◽  
Mimoza Durresi ◽  
Raj Jain

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