Animals play significant and enormous role in the enhancing environment stability, ecosystems and human life. Hence it is considered to be important to protect the health of animals from various disease and to increase the security of animal habitat from forest fire and other natural calamities. In order to accomplish proper life cycle of the animal, effective monitoring becomes mandatory. Department of animal husbandry establishes various manual scheme to preserve and protect the animals. However manual monitoring of animals is highly challenging. On advancement of various sensor technologies, it is made simple but still to enhance the efficiency of the automated monitoring system, internet of things enabled distributed system provides efficient solution. In this paper, smart distributed Internet of things enabled animal health and location tracking system using intelligent wireless sensor and Node Micro Controller Unit is designed and experimented using tiny high calibrated sensors. It is considered as distributed wireless model incorporating monitoring sensor, data collection units, transceiver and base stations. Proposed wireless sensor network composed of temperature sensor, GPS module and PIR sensor acquires the sensed data and transform to the IOT server for further analysis. Temperature sensor senses the temperature of the animal, PIR sensor senses the human movement in the animal boundaries and GPS module transmit the location information to the data collection unit or controller as aggregate information containing sensing data. Further controller transmit those aggregated information to base station for data server for data analytics operations. In this paradigm, base station is employed to control and manage the health and security of the animals on any abnormality detection. On identification of the abnormality, IoT enabled module generates the warning messages as prerecorded voice through speaker or voice processor to alert the people. Further warning message is transmitted to forest officers or police station through GPS module regarding unauthorized access of human beings in the animal boundaries. Experimental analysis of the proposed modules is evaluated on its effectiveness and efficiency in resisting the unauthorized access of people in the animal boundaries and preventing the animal health by timely treatment procedure. Proposed model can be employed to live stock monitoring and pet animal monitoring in residential environments.