Abstract
Compression techniques reduce the dimensions of information by handling repetition data; it is utilized in delay-sensitive wireless sensor networks (WSNs) to diminish end-to-end packet delay, and in wireless channel packet delay to minimize the packet transmission time and contention. In order to use signals, a large number of sensor devices collect the information of the signal and share among sensors itself. Large amount of information sharing between the sensor nodes lead to degrade the performance of the network. This paper deals with the analysis of compressive quantitative relation and energy consumption within the network by comparison with the prevailing compressive techniques.
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Abdul Raheem, S., Prabhakar, M., Kumar, G. (2019). Comb Needle Model for Data Compression Based on Energy-Efficient Technique. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_30
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DOI: https://doi.org/10.1007/978-981-10-8201-6_30
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