• DocumentCode
    1995935
  • Title

    Data aggregation using RSSI for multihop Wireless Sensor Networks: Energy and delay performance

  • Author

    Awang, Azlan ; Agarwal, Sankalp ; Drieberg, Micheal

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. Petronas, Tronoh, Malaysia
  • fYear
    2013
  • fDate
    26-28 Nov. 2013
  • Firstpage
    422
  • Lastpage
    426
  • Abstract
    In Wireless Sensor Networks (WSNs), due to dense deployment, sensory data gathered by sensor nodes tend to exhibit high correlation and therefore redundant. Data aggregation offers a key solution to alleviate such redundancy and reduce transmission energy consumption. In this work, we propose two aggregation mechanisms based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a node generate a data packet, that packet is associated with an aggregation ID (Agg ID). The Agg ID is used to prioritize a forwarding candidate closer to sink to be an aggregator and also a relay node in the RSSI-Based Forwarding (RBF). We show via simulation the performance of the proposed mechanism in terms of packet transmissions and receptions, energy efficiency and end-to-end delay.
  • Keywords
    relay networks (telecommunication); sensor placement; wireless sensor networks; RBF; RSSI-based forwarding; WSNs; aggregation ID; aggregation mechanisms; data aggregation; data packet; dense deployment; end-to-end delay; energy efficiency; multihop wireless sensor networks; packet receptions; packet transmissions; received signal strength indicator; relay node; sensory data gathering; transmission energy consumption; Conferences; Data models; Delays; Energy consumption; Global Positioning System; Network topology; Wireless sensor networks; Received signal strength indicator; data aggregation; topology independent; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (MICC), 2013 IEEE Malaysia International Conference on
  • Conference_Location
    Kuala Lumpur
  • Type

    conf

  • DOI
    10.1109/MICC.2013.6805866
  • Filename
    6805866