VigilNet: An Integrated Sensor Network System for Energy-Efficient Surveillance

Author(s):  
Tian He ◽  
Sudha Krishnamurthy ◽  
Liqian Luo ◽  
Ting Yan ◽  
Lin Gu ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Kalyan Das ◽  
Satyabrata Das ◽  
Rabi Kumar Darji ◽  
Ananya Mishra

The sensor cloud is a combination of cloud computing with a wireless sensor network (WSN) which provides an easy to scale and efficient computing infrastructure for real-time application. A sensor cloud should be energy efficient as the life of the battery in the sensor is limited and there is a huge consumption of energy in the data centre in running the servers to provide storage. In this paper, we have classified energy-efficient techniques for sensor cloud into different categories and analyzed each technology by using various parameters. Usage percentage of each parameter for every technology is calculated and for all technologies on average is also calculated. From our analysis, we found that most of the energy-efficient techniques ignore quality of service (QoS) parameters, scalability, and network lifetime. Multiparameter optimization including other QoS parameters along with energy may be the future direction of research. Our study will be helpful for researchers to get information regarding current methods used for an energy-efficient sensor cloud and also to build advanced systems in the future.


2020 ◽  
Author(s):  
Lakshmi Narayana Thalluri ◽  
Jitendra Prasad Ayodhya ◽  
Yuva Raju Chava ◽  
Bhimeswara Anjaneya Prasad Tati

Author(s):  
Hardeep S. Saini ◽  
Dinesh Arora

Background & Objective: The operating efficiency of a sensor network totally relies upon the energy that is consumed by the nodes to perform various tasks like data transmission etc. Thus, it becomes mandatory to consume the energy in an intelligent way so that the network can run for a long period. This paper proposed an energy efficient Cluster Head (CH) selection mechanism by considering the distance to Base Station (BS), distance to node and energy as major factors. The concept of volunteer node is also introduced with an objective to reduce the energy consumption of the CH to transmit data from source to BS. The role of the volunteer node is to transmit the data successfully from source to destination or BS. Conclusion: The results are observed with respect to the Alive nodes, dead nodes and energy consumption of the network. The outcome of the proposed work proves that it outperforms the traditional mechanisms.


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