Efficient aggregation technique for data privacy in wireless sensor networks

Abstract

In wireless sensor networks (WSNs), the existing cluster-based private data aggregation techniques are energyintensive due to high message transmission complexity. Reliable data transmissions are also vital for resource constraint WSNs. To address these issues, the authors propose a reliability enabled private data aggregation technique that has message transmission complexity of O(N). Every node in the cluster cleaves its data into n integrants using simple modular arithmetic with suitable prime moduli and transmits to the cluster heads (CHs) for intermediate aggregation. The CHs, in turn, forward the partial aggregate data to the base station where the final aggregate is recovered using an elegant Chinese remainder theorem. The authors use data privacy, communication overhead, and reliability metrics to gauge the performance of the proposed work. Numerical and simulation results demonstrate that the proposed solution outperforms the existing schemes having O(N 2) communication complexity.

QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

“…Some examples of this type of aggregation are discussed in [99]- [104]. The best features of the above two schemes are used in the hybrid approach to data collection discussed in [105], [106]. Data aggregation schemes can be divided into periodic and aperiodic.…”

UAV-Enabled Multiple Traffic Backhaul Based on Multiple RANs: A Batch-Arrival-Queuing-Inspired Approach

“…Many studies have made great progress in data aggregation and collection [34]- [36]. UAV-enabled data backhaul is very challenging yet makes much sense for remote data aggregation with obstacle, and hence our work focus on the multinetwork data backhaul problem from the relay UAV to the base stations.…”