Performance enhancement of improved distinct cluster identification algorithms for multi dimensional datasets

Abstract

The advancement in the Internet of Things makes our life easier with newlinelot of automated devices. Most of the automated devices need to communicate newlinewith the central processing unit with the help of wireless transmission. The newlinedevelopment multifunctional Micro Electro-Mechanical Systems (MEMS) newlinehas been used for the fabrication of wireless sensor node with tiny battery newlinepowered devices used for transmission data within a region. newlineA wireless sensor network (WSN) is a network is a aggregation of newlinesensor nodes that sense the environment, communicate with other, newlinemanipulate, processes and transfer the data with other networks. The real time newlinemeasurement data such as temperature, pressure, pH level, motion, and newlinelocation information can be transmitted with less storage space and power newlineconsumption can be achieved with wireless sensor nodes. In addition the newlineenvironment is easily perceived by the sensor node the detection of routing newlinepath is calculated based on the external environment also. It makes the newlinewireless sensor network more suitable in all hazardous situations. newlineIn the WSN, the sensor nodes are normally grouped as clusters which newlineare small partitions of the node. There are number of nodes involved in the newlinetransmission of group of data through wireless sensor network. The nodes are newlinerandomly allocated without any predetermined criteria based on the data newlinetransfer path. It increases the energy consumption of the network and more newlinesusceptible to noise. Hence a suitable method is needed to find the optimal newlinepath and reduces the energy consumption. Also the WSNs shares needs to newlineobtain high computational speed with limited memory and power sources the newlinepreservation network performance becomes an important criteria to preserve newlinelife time. newline