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DACA: Data-aware clustering and aggregation in query-driven wireless sensor networks

Bahrami, S ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/ICCCN.2012.6289260
  3. Publisher: 2012
  4. Abstract:
  5. Data aggregation is an effective technique which is introduced to conserve energy by reducing packet transmissions in wireless sensor networks (WSNs). In addition, it is possible to consume less energy by using the spatial correlation and redundancy of data in dense networks to form clusters of nodes sensing similar values and, in turn, transmit one data packet per cluster. In this paper, we propose a Data-Aware Clustering and Aggregation scheme (DACA) to manage the energy constraint in a query-driven WSN. The DACA selects cluster head nodes by forming a new factor as a function of three parameters including the residual energy, the data value, and the number of neighbors at each node. Moreover, it exploits a cluster merging method to overcome the problem of the previous studies in which all sensor nodes become cluster heads over time, so it prolongs the network lifetime. Extensive simulations in NS-2 verify the superiority of our approach
  6. Keywords:
  7. Aggregation schemes ; Cluster head ; Cluster-head nodes ; Cluster-merging ; Conserve energy ; Data aggregation ; Data packet ; Data values ; Data-aware Clustering ; Dense network ; Energy constraint ; Extensive simulations ; Form clusters ; Network lifetime ; Packet transmissions ; Residual energy ; Spatial correlations ; Three parameters ; Wireless sensor network (WSNs) ; Sensor nodes ; Wireless sensor networks ; Digital storage
  8. Source: 2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings ; 2012 ; 9781467315449 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6289260