Open AccessAppropriate Cluster Head Determination Strategy for extending the Wireless Sensor Network’s (WSN’s) Lifetime
Author(s) -
V. Baby Shalini
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1130.1292s219
Subject(s) - wireless sensor network , computer science , sink (geography) , energy consumption , key distribution in wireless sensor networks , cluster analysis , sensor node , real time computing , computer network , wireless , wireless network , engineering , telecommunications , artificial intelligence , geography , electrical engineering , cartography
WSN is made with immense number of sensor’s which are deployed densely over an unattended area is responsible for taking environmental measurements, process the data and finally transmit the sensed data over a wireless channel to the sink that makes decisions based on these sensor’s readings. It is well known that the energy consumed for transferring one bit of data from individual sensor to sink is equivalent to a large number of arithmetic operations to be performed in a sensor processor. Thus, node clustering have been applied to hierarchical sensor networks with heterogeneity to augment the network existence whereas diminishing the necessary energy consumption. For that reason, Seven Level Balanced Energy Efficient Network Integrated Super Heterogeneous (SL-BEENISH) algorithm was designed and implemented. Simulation outcomes clearly demonstrated that SL-BEENISH attain better in comparison with TDEEC, BEENISH and IBEENISH with more stability period and network duration.