scholarly journals An Energy-Saving Routing Algorithm for Wireless Body Sensor Network using Data Compression Technique

2015 ◽  
Vol 114 (15) ◽  
pp. 26-29
Author(s):  
Karthick K ◽  
R.Vijaya Kumar
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Li Li ◽  
Xiaoguang Hu ◽  
Baochang Zhang

The Automatic Meter Reading (AMR) network for the next generation Smart Grid is required to possess many essential functions, such as data reading and writing, intelligent power transmission, and line damage detection. However, the traditional AMR network cannot meet the previous requirement. With the development of the WiFi sensor node in the low power cost, a new kind of wireless sensor network based on the WiFi technology can be used in application. In this paper, we have designed a new architecture of WiFi-based wireless sensor network, which is suitable for the next generation AMR system. We have also proposed a new routing algorithm called Energy Saving-Based Hybrid Wireless Mesh Protocol (E-HWMP) on the premise of current algorithm, which can improve the energy saving of the HWMP and be suitable for the WiFi-based wireless sensor network. The simulation results show that the life cycle of network is extended.


2019 ◽  
Vol 1228 ◽  
pp. 012002 ◽  
Author(s):  
S Venkataramana ◽  
B V D S Sekhar ◽  
N Deshai ◽  
V V S S S Chakravarthy ◽  
S Krishna Rao

Author(s):  
Pushpender Kumar Dhiman ◽  
Narottam Chand

Wireless Sensor Network (WSN) has limited resources such as energy, computation and transmission capacity. These resources are not sufficient for transmitting large amount of data collected by the sensor nodes. Wireless Multimedia Sensor Network (WMSN) generates large amount of data that requires more energy and transmission capacity as compared to scalar data. So it is desired to perform in-network data compression in WMSN. In this paper the authors have used Principal Component Analysis (PCA) technique for data compression. PCA can be efficiently used in wireless multimedia sensor network to reduce the energy consumption, reduce the network load and prolong the network lifetime. Simulation results show that PCA based compression conserves energy of sensor nodes and prolongs the lifetime of WMSN.


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