Int. J. Reasoning-based Intelligent Systems, Vol. 10, Nos. 3/4, 2018 219 Copyright © 2018 Inderscience Enterprises Ltd. Energy efficient data compression and aggregation technique for wireless sensor networks [TELOSB MOTES] B. Karthikeyan* School of Electronics Engineering, VIT University, Vellore, India Email: bkarthikeyan@vit.ac.in *Corresponding author R. Kumar Department of Electronics and Instrumentation Engineering, NIT-Nagaland, India Email: rajagopal.kumar@nitnagaland.ac.in Srinivasa Rao Inabathini School of Electronics Engineering, VIT University, Vellore, India Email: israo@vit.ac.in Abstract: This paper present and analyse an energy efficient data compression and data aggregation algorithm which results in the whole network lifetime prolonged by about 24%. In this paper, a new idea is proposed for sensor values compression based on a technique that involves feedback mechanism. In this technique, the base node in the sensor network generates Huffman code for the sensor data that needs to be compressed and broadcast the Huffman code in to the sensor network. All nodes in the sensor network receive Huffman code, compress the sensor data and transmit to base node. For data aggregation, secure data aggregation algorithm is used which does not necessitate additional phase for data integrity verification and also it eludes extra transmissions and computational overhead on the sensor nodes to reduce the amount of energy used up by the network. The whole idea was tested on TelosB sensor network platform, programmed in nesC language and also analyses the performance of the algorithm in the Contiki OS-simulator COOJA. A comparison is also done with existing compression algorithms in terms of lifetime of the sensor network. Keywords: sensor network; Huffman code; secure hierarchical aggregation; COOJA; Telosb. Reference to this paper should be made as follows: Karthikeyan, B., Kumar, R. and Inabathini, S.R. (2018) ‘Energy efficient data compression and aggregation technique for wireless sensor networks [TELOSB MOTES]’, Int. J. Reasoning-based Intelligent Systems, Vol. 10, Nos. 3/4, pp.219–223. Biographical notes: B. Karthikeyan is currently working as an Assistant Professor in the Department of Embedded Technology, School of Electronics Engineering in VIT University, Vellore, Tamilnadu. Currently, he is pursing his PhD in the area of data aggregation techniques in WSN. His areas of expertise include microcontroller-based system design, embedded systems and wireless sensor networks. R. Kumar is currently working as a Professor in the Department of Electronics and Instrumentation, National Institute of Technology-Nagaland, India. Currently, he holds the position as Dean-Academics. His areas of interest are embedded systems applications, instrumentation and wireless sensor networks. Srinivasa Rao Inabathini is currently working as an Associate Professor in the Department of Communication Engineering, School of Electronics Engineering, VIT University, Vellore, Tamilnadu, India. His areas of interest are microwave, optics and sensors.