Volume 8 Issue 4-1 - August 2017

  • 1. Design of a compressive data gathering scheme with an energy efficient reconstruction algorithm for wsn

    Authors : Aman Jindal, Kanika Sharma

    Pages : 97-103

    DOI : http://dx.doi.org/10.21172/1.841.17

    Keywords : WSN, Compressive sensing, DCT, AFB

    Abstract :

    The principle objective of wireless sensor network is not only to perform the operation of data communication but also to increase the network lifetime by retaining the energy of nodes for the longer time. As sensor nodes are resource constraints to achieve this objective there is requirement of efficient optimization of network resources which can be achieved by doing efficient compression. Compressive Sensing is the best way to enhance he network lifetime as it prefers multi-hopping for communication and data aggregation to reduce the number of transmission to the base station. Compressive Sensing is one of the emerging techniques that serve compression and recovery for signal of interest. At K=10, proposed method saves 250 number of measurements than random selection method. Moreover, at K=150, the conventional method needs almost 450 more measurements than the proposed scheme. The simulation results show that the proposed method support reduction in the number of measurements by 70~80% for wide range of sparsity level of high and low SNRs.

    Citing this Journal Article :

    Aman Jindal, Kanika Sharma, "Design of a compressive data gathering scheme with an energy efficient reconstruction algorithm for wsn", https://www.ijltet.org/journal_details.php?id=920&j_id=3926, Volume 8 Issue 4-1 - August 2017, 97-103, #ijltetorg