International Journal of Engineering and Technology

Nowadays wireless sensor networks have wide applications in many fields such as medical, industrial, military, etc. Sensors are having limited processing capabilities and energy is an important constraint in wireless sensor networks as it determines the lifetime of the network. In a large scale wireless sensor networks, the sensor nodes have to collect more data when they are moving towards the sink. So the sensor nodes energy, nearer to the sink may get drained off more quickly and an alternate path has to be chosen which increases the delay in the network. Compressive data gathering is one of the techniques which reduce the data size, balance the energy in large scale wireless sensor networks. The existing technique takes more computations and increase in complexity on compressing the data. So a modified compressive data gathering protocol is designed which uses a lossless compression algorithm called modified Lempel Ziv Welch compression algorithm which is a simple and fast method for compressing the data. A tree is constructed and parent-children nodes are assigned and child node carries the compressed data and intermediate parent node aggregates and compresses it until it reaches the sink. The original data is reconstructed at the sink using Modified Lempel Ziv Welch decompression algorithm