Nature Inspired Energy Efficient Wireless Sensor Networks Using Dynamic SleepActive Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Wireless communication is the demand of the current technology with fast computational techniques where different type of sensor nodes or motes are deployed densely within the phenomenon or very close to it, structuring in a Wireless Sensor Networks, usually termed WSN, consisting hundreds of thousands of sensor motes, which can communicate among themselves using radio signals. But the life time of the WSN is entirely depends on the total energy consumed by n number of motes participating in the target application. Therefore, the primary objective is to increase the life time of the WSN, by designing energy efficient protocols and algorithms. Our research is motivated by the nature of Polar Bear’s adaptation seasonally, especially in winter, to reduce energy consumption they will go to sleep. Hence sensor motes are characterized by two operational states, as ‘active’ and ‘sleep’. Existing approaches to reduce the energy consumption is based on the Medium Access Layer MAC protocols resulting in static active-sleep mechanisms not supporting the dynamic nature of network traffic and its varying load degrades the performance of the networking system by consuming more energy. We developed a NIEESA algorithm, a novel approach to Sensor Network Motes, based on Energy consumption algorithm, which is computationally efficient to extend network lifetime by reducing the redundant transmission, in order to save energy consumption in idle states, low powered operation is used in Wireless Sensor Networks (WSNs), where each mote dynamically switches between sleeping mode and active mode.
Authors and Affiliations
Rajesh SL, Dr. Somashekhar C Desai
Keywords
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