• DocumentCode
    650792
  • Title

    Data aggregation using RSSI for multihop Wireless Sensor Networks

  • Author

    Awang, Azlan ; Agarwal, Sankalp

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. Petronas, Tronoh, Malaysia
  • fYear
    2013
  • fDate
    24-26 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence reduces the transmission energy consumption. In this work, we propose two data aggregation mechanisms (class-based and alpha-based) that aggregate and route data packet based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a data packet is generated, an aggregation identification (Agg ID) is associated with that packet. Using the RSSI and Agg ID in RSSI-Based Forwarding (RBF), we favor nodes closer to sink when aggregating and relaying a data packet. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, energy consumed per data packet, network lifetime and packet loss probability.
  • Keywords
    energy conservation; probability; wireless sensor networks; RSSI-based forwarding; aggregation identification; data aggregation; data packet; energy conservation; multihop wireless sensor networks; network lifetime; network loads; packet loss probability; received signal strength indicator; resource-constrained WSN; sensor nodes; sink node; transmission energy consumption; CTS response; Data aggregation; RSSI; network lifetime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2013 International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/WCSP.2013.6677041
  • Filename
    6677041