Proceedings ArticleDOI
Energy efficient data compression and aggregation technique forwireless sensor networks
B. Karthikeyan,R. Kumar,Srinivasa Rao,Inabathini +3 more
- pp 209-212
TLDR
An energy efficient data compression and data aggregation algorithm is presented which results in the whole network lifetime prolonged by about 24%.Abstract:
This paper present and analyze 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 receives 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.read more
References
More filters
Proceedings ArticleDOI
TinyECC: A Configurable Library for Elliptic Curve Cryptography in Wireless Sensor Networks
TL;DR: TinyECC is presented, a ready-to-use, publicly available software package for ECC-based PKC operations that can be flexibly configured and integrated into sensor network applications and shows the impacts of individual optimizations on the execution time and resource consumptions.
Proceedings ArticleDOI
Efficient aggregation of encrypted data in wireless sensor networks
TL;DR: This paper proposes a simple and provably secure additively homomorphic stream cipher that allows efficient aggregation of encrypted data and shows that aggregation based on this cipher can be used to efficiently compute statistical values such as mean, variance and standard deviation of sensed data, while achieving significant bandwidth gain.
Proceedings ArticleDOI
Secure aggregation for wireless networks
Lingxuan Hu,David Evans +1 more
TL;DR: This work presents a protocol that provides a secure aggregation mechanism for wireless networks that is resilient to both intruder devices and single device key compromises, and takes advantage of the properties of wireless networking, as well as the power asymmetry between the devices and the base station.
Proceedings ArticleDOI
SDAP: a secure hop-by-Hop data aggregation protocol for sensor networks
TL;DR: SDAP is a general-purpose secure aggregation protocol applicable to multiple aggregation functions and can achieve the level of efficiency close to an ordinary hop-by-hop aggregation protocol while providing certain assurance on the trustworthiness of the aggregation result.
Proceedings ArticleDOI
Secure hierarchical in-network aggregation in sensor networks
TL;DR: This work presents the first algorithm for provably secure hierarchical in-network data aggregation, and is guaranteed to detect any manipulation of the aggregate by the adversary beyond what is achievable through direct injection of data values at compromised nodes.