D.Suguna et al, International Journal of Computer Science and Mobile Applications,
Vol.2 Issue. 8, August- 2014, pg. 06-14
D.Suguna,Dr. K.Elangovan
Abstract
This paper proposes a fault node recovery algorithm to enhance the lifetime of a wireless sensor network when
some of the sensor nodes shut down. This algorithm is based on the grade diffusion algorithm combined with the
genetic algorithm. The algorithm can result in fewer replacements of sensor nodes and more reused routing paths. In
this proposed algorithm increases the number of active nodes up to 8.7 times, reduces the rate of data loss by
approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%. Sensors in a wireless
sensor networks are having tendency to fail, due to the energy depletion, hardware failures, environmental conditions
etc. Fault tolerance is one of the critical issues in Wireless sensor network. The existing fault tolerance mechanisms
either consume significant extra energy to detect and recover from the failures or need to use additional hardware and
software resources. The proposed algorithm enhances the lifetime of a sensor nodes shut down and it depends on
ladder diffusion Algorithm combined with the genetic algorithm. It can result in fewer replacements of sensor nodes
with more reused routing paths and also increases the number of active nodes, reduce the rate of data loss with
reduced energy consumption.
Keywords: sensor networks (WSN), Genetic algorithm, Grade diffusion (GD) algorithm, Directed Diffusion Algorithm
حل مسئله، بخشی ضروری در هر رشته علمی است که دو جزء دارد: (1) شناسایی مسئله و فرمول و (2) راه حلی برای مسئله فرمولهشده. یک جزء میتواند مسئله حول استفاده از تکنیکهای ad hoc خود را حل کند یا تکنیکهایی که راه حلهای کارآمدی برای مسائل مشابه بوجود میآورند را دنبال کند. این به درک درستی از تکنیکهای مختلف طراحی الگوریتم، چگونگی و زمان استفاده از آنها برای فرمولبندی راه حلها و زمینه مناسب برای هریک از آنها نیاز دارد…