A low cost smart security and home automation system employing an embedded server and a wireless sensor network

Author(s):  
Semanur Karaca ◽  
Alper Sisman ◽  
Ibrahim Savruk
Sensors ◽  
2016 ◽  
Vol 17 (12) ◽  
pp. 69 ◽  
Author(s):  
Sandeep Pirbhulal ◽  
Heye Zhang ◽  
Md E Alahi ◽  
Hemant Ghayvat ◽  
Subhas Mukhopadhyay ◽  
...  

2016 ◽  
Vol 24 ◽  
pp. 3652-3663 ◽  
Author(s):  
Ahmet Burak GÖKBAYRAK ◽  
Sermin KILIVAN ◽  
Semavi AKIN ◽  
Anıl ÇELEBİ ◽  
Oğuzhan URHAN

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 606 ◽  
Author(s):  
Sandeep Pirbhulal ◽  
Heye Zhang ◽  
Md. E Alahi ◽  
Hemant Ghayvat ◽  
Subhas Mukhopadhyay ◽  
...  

2014 ◽  
Vol 51 (4) ◽  
pp. 971-993 ◽  
Author(s):  
Xavier Silvani ◽  
Frédéric Morandini ◽  
Eric Innocenti ◽  
Sylvestre Peres

2016 ◽  
Vol 12 (10) ◽  
pp. 86 ◽  
Author(s):  
Jingyi Bo ◽  
Yubin Wang ◽  
Na Xu

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Combining the characteristics of wireless sensor network, the ant colony algorithm is applied to a wireless sensor network, and a wireless sensor network route algorithm based on energy equilibrium is proposed in this paper. This algorithm takes the energy factor into the consideration of selection of route based on probability and enhanced calculation of information so as to find out the optimal route from the source node to the target node with low cost and balanced energy, and it prolongs the life cycle of the whole network</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">.</span>


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