Energy-Scalable Protocols for Battery-Operated MicroSensor Networks
Journal of VLSI Signal Processing Systems - Special issue on signal processing systems design and implementation
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
TiNA: a scheme for temporal coherency-aware in-network aggregation
Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access
Establishing trust in pure ad-hoc networks
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
The impact of spatial correlation on routing with compression in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
AIDA: Adaptive application-independent data aggregation in wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Sensor Networks
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Network correlated data gathering with explicit communication: NP-completeness and algorithms
IEEE/ACM Transactions on Networking (TON)
Fuzzy Based Trust Estimation for Congestion Control in Wireless Sensor Networks
INCOS '09 Proceedings of the 2009 International Conference on Intelligent Networking and Collaborative Systems
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
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In this paper, we introduce a new protocol, named TDFCA (Trusted Data Fusion by using Cellular Automata) in Wireless sensor Networks. TDFCA uses Cellular Automata rules to find the most suitable cluster head, perform data fusion, and find the most trusted neighbors for sending the fusion result to base station. The network is intended for the long-term monitoring of packets produced by jammer nodes. The data flow of the network is mainly toward a cluster head node, which is responsible for collecting data generated by sensor nodes. When the network is first deployed, an initialization algorithm is performed and preliminary clusters and cluster heads are determined. Since the network nodes are battery powered, one of the important measures of effectiveness is power efficiency. Therefore, TDFCA tries not only to increase the trust value of the fusion result, but also to maximize the network's lifetime. Finally, simulation results are presented.