Title :
Low power wireless sensor networks for real-time data acquisition system using Bloom filter
Author :
Thangammal, C. Bennila ; Rangarajan, P. ; Perinban, J. Raja Paul
Author_Institution :
Dept. of Inf. Technol., R.M.D Eng. Coll., Kavaraipettai, India
Abstract :
This paper presents an energy-efficient data acquisition scheme using Bloom filter. Along with the Dynamic Voltage Scaling concept, Bloom filters can be used because of its advantage. Bloom filters have been used increasingly in networking applications, including packet classification, routing in P2P networks, string matching in Network Intrusion Detection (NID), flow rate monitoring etc.,and in wireless sensor network(WSN) for updating configuration parameters and to distribute bulk data, to hide the data with low energy consumption, to identify the data locations in the nodes. The basic Bloom filter has been extended in many ways to suit specific applications. To allow staggered data transmissions within a sensor cluster a reservation-based Time Division Multiple Access protocol was also employed which reduce energy consumption.
Keywords :
data acquisition; filtering theory; power aware computing; time division multiple access; wireless sensor networks; P2P network routing; bloom filter; dynamic voltage scaling concept; energy consumption; energy-efficient data acquisition scheme; flow rate monitoring; low power wireless sensor network; network intrusion detection; packet classification; real-time data acquisition system; sensor cluster; string matching; time division multiple access protocol; Base stations; Data acquisition; Energy consumption; Protocols; Real time systems; Wireless communication; Wireless sensor networks;
Conference_Titel :
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location :
Tamil Nadu
Print_ISBN :
978-1-4244-7923-8
DOI :
10.1109/ICETECT.2011.5760097