GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
JouleTrack: a web based tool for software energy profiling
Proceedings of the 38th annual Design Automation Conference
SPINS: security protocols for sensor networks
Wireless Networks
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
FSE '97 Proceedings of the 4th International Workshop on Fast Software Encryption
Impact of Network Density on Data Aggregation in Wireless Sensor Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Secure hierarchical in-network aggregation in sensor networks
Proceedings of the 13th ACM conference on Computer and communications security
An efficient integrity-preserving scheme for hierarchical sensor aggregation
WiSec '08 Proceedings of the first ACM conference on Wireless network security
RF/FSO and LEACH wireless sensor networks: a case study comparing network performance
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
Opportunistic sensing: security challenges for the new paradigm
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Secure encrypted-data aggregation for wireless sensor networks
Wireless Networks
IEEE/ACM Transactions on Networking (TON)
Integrity protecting hierarchical concealed data aggregation for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A variable weight based fuzzy data fusion algorithm for WSN
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
DyDAP: A dynamic data aggregation scheme for privacy aware wireless sensor networks
Journal of Systems and Software
SPDA: a security protocol for data aggregation in large-scale wireless sensor networks
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Secure Distributed Data Aggregation
Foundations and Trends in Databases
A secure energy-efficient routing protocol for WSN
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
COCA: Constructing optimal clustering architecture to maximize sensor network lifetime
Computer Communications
Wireless Personal Communications: An International Journal
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Data aggregation in wireless sensor networks eliminates redundancy to improve bandwidth utilization and energy-efficiency of sensor nodes. This paper presents a secure energy-efficient data aggregation protocol called ESPDA (Energy-Efficient Secure Pattern based Data Aggregation). Unlike conventional data aggregation techniques, ESPDA prevents the redundant data transmission from sensor nodes to cluster-heads. If sensor nodes sense the same data, ESPDA first puts all but one of them into sleep mode and generate pattern codes to represent the characteristics of data sensed by sensor nodes. Cluster-heads implement data aggregation based on pattern codes and only distinct data in encrypted form is transmitted from sensor nodes to the base station via cluster-heads. Due to the use of pattern codes, cluster-heads do not need to know the sensor data to perform data aggregation, which allows sensor nodes to establish secure end-to-end communication links with base station. Therefore, there is no need for encryption/decryption key distribution between the cluster-heads and sensor nodes. Moreover, the use of NOVSF Block-Hopping technique improves the security by randomly changing the mapping of data blocks to NOVSF time slots. Performance evaluation shows that ESPDA outperforms conventional data aggregation methods up to 50% in bandwidth efficiency.