A COST EFFECTIVE COMPRESSIVE DATA AGGREGATION TECHNIQUE FOR WIRELESS SENSOR NETWORKS
| Main Authors: | M.Y. Mohamed Yacoab, Dr.V.Sundaram, Dr.A.Thajudeen |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4279133 |
Daftar Isi:
- In wireless sensor network (WSN) there are two main problems in employing conventional compression techniques. The compression performance depends on the organization of the routes for a larger extent. The efficiency of an in-network data compression scheme is not solely determined by the compression ratio, but also depends on the computational and communication overheads. In Compressive Data Aggregation technique, data is gathered at some intermediate node where its size is reduced by applying compression technique without losing any information of complete data. In our previous work, we have developed an adaptive traffic aware aggregation technique in which the aggregation technique can be changed into structured and structure-free adaptively, depending on the load status of the traffic. In this paper, as an extension to our previous work, we provide a cost effective compressive data gathering technique to enhance the traffic load, by using structured data aggregation scheme. We also design a technique that effectively reduces the computation and communication costs involved in the compressive data gathering process. The use of compressive data gathering process provides a compressed sensor reading to reduce global data traffic and distributes energy consumption evenly to prolong the network lifetime. By simulation results, we show that our proposed technique improves the delivery ratio while reducing the energy and delay.