In this paper we present a Spiral-Based Clustered with Data Aggregation (SBCDA) architecture approach combining data aggregation with TDMA protocol in WSNs for improving connectivity and avoiding inter-cluster collisions and to increase bandwidth reserved for each sensor node, by computing the length of the superframe generated by all sensor nodes in the network.
Based on both communication and system models, we classify these schemes that are published between 2013 and 2017, in five categories, including, (1) smart grid with advanced metering infrastructure, (2) data aggregation, (3) smart grid marketing architecture, (4) smart community of home gateways, and (5) vehicle-to grid architecture.
This work presents a general-purpose framework and computing architecture for data aggregation, with possible applications in smart grids or sensor networks (although the scheme is not restricted to any of these areas).
Data aggregation capabilities and a power-savvy architecture complete the middleware features.
In the literature, most of the data aggregation protocols rely on a structured architecture to accomplish data gathering.
Moreover, multi-tenancy architectures enable cross-client data aggregation and the application of business intelligence techniques [14].
The related work is discussed in Section 2. Section 3 depicts the software architecture designed to ensure secure data aggregation.
This paper proposes a software architecture that supports multiple approaches to secure data aggregation.
This architecture allows the use of different strategies for private data aggregation.
In addition, our protocol reduces the impacts of the network architecture and the event source distribution model (distributed and centralised) on the performance of data aggregation routing.
In this paper, we propose DARE, an hybrid architecture combining WSNs with the wireless mesh networking paradigm in order to provide secure data aggregation and node reputation in WSNs.
