An Efficient Technique for Lossless Address Data Compression Using Novel Adaptive SPIHT Algorithm in WSN

Abstract

As of late, remote sensors have drawn a wider research consideration. A smart system will be always integrated with bunches of sensors that are independently sorted out and coordinate with one another to gather, process, and transmit information on some remote authoritative focus. System lifetime, throughput, and burden adjusting are the most significant prerequisites in remote sensors arrangement. Sensor nodes are the modern-day devices that are used to monitor the physical environmental values and transfer them to some base station. When working with the networking field, one needs to check how much of network traffic, memory, and power consumption is utilized to perform the given task. For instance, sensor network is used to develop a proficient information transmission where the sensor nodes are working and delivering the services in every inhabitable place. In this condition, the sensor nodes sense the information and forward them to the base station. At the point when the information is being sent to the base station, the information can be packed at each bunch’s head. Data compression is a novel technique where the size of the information transmitted over a network will be reduced to a lesser amount so that less I/O work is needed and hence making the data transmission faster over the hardware devices. One of the most prominent and lesser worked and known techniques is a lossless data compression technique where the data is reduced to minimum allowable size keeping the data integrity and originality. Here data loss is avoided by completely transmitting the data.