Interference mitigation study for low energy critical infrastructure monitoring applications

Author(s):  
Yongnu Jin ◽  
Moshaddique Al Ameen ◽  
Hongwu Liu ◽  
Kyung Sup Kwak
2012 ◽  
Vol 8 (4) ◽  
pp. 504946 ◽  
Author(s):  
Niamat Ullah ◽  
M. Sanaullah Chowdhury ◽  
Mosaddique Al Ameen ◽  
Kyung Sup Kwak

Critical infrastructure monitoring applications are rapidly increasing. Application requirements include reliable data transfer, energy efficiency, and long deployment lifetime. These applications must also be able to operate in an extremely low-cost communication environment in order to be attractive to potential users. A low rate wireless personal area network can help control and manage the operations of such applications. In this paper, we present a medium access control (MAC) protocol for low-energy critical infrastructure monitoring (LECIM) applications. The proposed MAC protocol is based on a framed slotted aloha multiple access schemes. For downlink communication, we use a wakeup radio approach to avoid complex bookkeeping associated with the traditional MAC protocols. Analytical expressions for power consumption and delay are derived to analyze and compare the performance of our proposed protocol with the existing well-known T-MAC, B-MAC, X-MAC, ZigBee, and WiseMAC protocols. It is shown that our proposed protocol outperforms all the other protocols in terms of power consumption and delay.


2012 ◽  
Vol 27 (10) ◽  
pp. 1783-1797 ◽  
Author(s):  
M. Sanaullah Chowdhury ◽  
Niamat Ullah ◽  
Mosaddique Al Ameen ◽  
Kyung Sup Kwak

Author(s):  
S. P. Anandaraj ◽  
S. Poornima

A typical WSN contains spatially distributed sensors that can cooperatively monitor the environment conditions, like second, temperature, pressure, motion, vibration, pollution and so forth. WSN applications have been used in several important areas, such as health care, military, critical infrastructure monitoring, environment monitoring, and manufacturing. At the same time. WSN Have some issues like memory, energy, computation, communication, and scalability, efficient management. So, there is a need for a powerful and scalable high-performance computing and massive storage infrastructure for real-time processing and storing the WSN data as well as analysis (online and offline) of the processed information to extract events of interest. In this scenario, cloud computing is becoming a promising technology to provide a flexible stack of massive computing, storage, and software services in ascalable and virtualized manner at low cost. Therefore, sensor-cloud (i.e. an integrated version of WSN & cloud computing) infrastructure is becoming popular nowadays that can provide an open flexible, and reconfigurable platform for several monitoring and controlling applications.


2016 ◽  
Vol 142 (4) ◽  
pp. 04016014 ◽  
Author(s):  
Jean-Philippe Montillet ◽  
Walter M. Szeliga ◽  
Timothy I. Melbourne ◽  
Rex M. Flake ◽  
Gavin Schrock

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