Abstract
Secure data aggregation in wireless sensor networks has two contrasting objectives, i) Efficiently collecting and aggregating data and ii) Aggregating the data securely. Many schemes do not take into account the possibility of corrupt aggregators and allow the aggregator to decrypt data in hop-by-hop algorithms. on the other hand, using public key cryptography for providing end to end security is not energy efficient. in this paper we present and analyze the performance of the secure hierarchical data aggregation algorithm which uses an efficient public key cryptosystem (elliptic curve cryptography) to achieve end to end security. Unlike many other secure data aggregation algorithms which require separate phases for secure aggregation and integrity verification, the secure hierarchical data aggregation algorithm does not require an additional phase for verification. This saves energy by avoiding additional transmissions and computational overhead on the sensor nodes. We present and implement the secure data aggregation algorithm on Mica2 and TelosB sensor network platforms and measure the execution time and energy consumption of various cryptographic functions. We have also simulated our algorithms to analyze how an end-to-end scheme increases the network lifetime. We experimentally analyze our algorithms based on parameters like throughput, end to end delay and resilience to node failures. © 2012 IEEE.
Recommended Citation
V. Kumar and S. K. Madria, "Secure Hierarchical Data Aggregation in Wireless Sensor Networks: Performance Evaluation and Analysis," Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012, pp. 196 - 201, article no. 6341390, Institute of Electrical and Electronics Engineers, Dec 2012.
The definitive version is available at https://doi.org/10.1109/MDM.2012.49
Department(s)
Computer Science
International Standard Book Number (ISBN)
978-076954713-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
13 Dec 2012