Challenges in Placing Wireless Sensor Networks in Jungle Sivamani C.*, Kumar G. Vineeth**, Priyanka M.***, Saranya M.**** *Assistant Professor, Angel College of Engineering and Technology, Tirupur, India. siddhu.veroen@gmail.com **UG Scholar, Angel College of Engineering and Technology, Tirupur, India. vineethkumark7@gmail.com ***UG Scholar, Angel College of Engineering and Technology, Tirupur, India. priyapriyyu@outlook.com ****UG Scholar, Angel College of Engineering and Technology, Tirupur, India. saranyamani07@gmail.com Online published on 23 March, 2017. Abstract Localization of Wireless Sensor Networks (WSN) becomes an elementary issue due to various inquisitive factors. Localization usually can be done by Fine-grained and Coarse grained localization algorithms. For Sensor network energy efficiency, scalability and robustness is also the important factors during localization. In order to maintain the performance of the Network with the reduced number of Sensor Devices (SD) than in existing method, here we propose four Coarse grained algorithms. MATLAB® software gives detailed analysis and better solutions for the issues while clustering. In these algorithms the nodes are deployed in a random manner and then the clustering is carried out. The Cluster Head (CH) is formed by checking for the better stability performance of each node. With the help of CH, all the other nearby nodes will establish a reliable communication with the centralised sink. With the help of clustering process the dead nodes can also be found. The energy variations and dead nodes will be stored by the sink if necessary. Top Keywords Localization, Wireless Sensor Networks (WSN), Coarse grained algorithms, clustering. Top |