Open AccessGeographic Routing In WSN for Measuring Coverage Constraints and Energy Consumption in Cloud Environments
Author(s) -
K.V. Nithya*,
Dr.V. Umadevi
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8438.019320
Subject(s) - computer science , energy consumption , wireless sensor network , network packet , computer network , node (physics) , transmission (telecommunications) , real time computing , energy (signal processing) , engineering , telecommunications , statistics , mathematics , structural engineering , electrical engineering
This paper investigates the problem of energy efficient and consumption process in wireless sensor networks. The fundamental problem in WSN has handled the energy constraints and avoiding end-to-end delay networks. We introduce encoding technique for handling transmission data, network delays, content aware service and energy expenditure problems. The end-to-end delay varies depending up on nodes and sensor life time. We apply hamming encoding technique for estimating energy constraints with life time of buffer capacity factor. This paper proposes the novel based approach to handle group communication, senor node status, network transmission and optimal encoded behaviors. Each cluster group values are sensed by node reference time and calculate hamming code weight for each node counts. The quality of services can be achieved by energy saving measurements and data loss can be varies up on incoming packet request. We compare the encoded result with code word situation and hazard environment. We reduce the amount of data transmission factor and life time of sensor values and longer network delays. We show the simulating results with encoding scheme and reduced energy consumption. The performance can be monitored by coverage constraints and optimal transmission behaviors.