Title :
AMR System Adopting Routing Algorithm of Wireless Sensor Networks
Author :
Shen, HaiJuan ; Jin, Xinyu ; Hu, HuiFeng ; Tang, Jun
Author_Institution :
HangZhou Prof. Tech. Coll., Hangzhou
Abstract :
With the rapid growth of population and technology, the electric power consumption and number of utility consumers had increased quickly. In order to serve larger utility- consumers, the automatic meter reading (AMR) systems are widely used. In the wireless data acquisition systems such as ARM and temperature-humidity, the process of data transmission through wireless means, the routing algorithm is very important. Due to the difference between such data acquisition systems and traditional large scale wireless sensor networks, we need to find out a proper routing algorithm to make the system work with the best efficiency, the least bit error rate, the shortest delay and the best stability. Therefore, we figure out a new algorithm for our system, which is named ant colony routing algorithm based on neural networking. The algorithm is firstly simulated and then carried out in an embedded system. Due to the result of the simulation, the performance of the algorithm is better than the existed routing algorithm.
Keywords :
automatic meter reading; data acquisition; power meters; telecommunication network routing; wireless sensor networks; ant colony routing algorithm; automatic meter reading systems; bit error rate; electric power consumption; routing algorithm; wireless data acquisition systems; wireless sensor networks; Automatic meter reading; Bit error rate; Data acquisition; Data communication; Embedded system; Large-scale systems; Neural networks; Routing; Stability; Wireless sensor networks;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.940