Reducing Energy Consumption in Wireless Sensor Networks Using Hash Distribution Table

Reducing Energy Consumption in Wireless Sensor Networks Using Hash Distribution Table

Wireless sensor networks include many small sensor nodes. These nodes have limitations with respect to energy level, bandwidth, processing power, and memory. Because of these limitations, navigation, clustering, reduction of energy consumption, an increase of lifespan are much challenges in navigation through wireless sensor networks. This article presents a dispersed navigation protocol called “Bloom Filter”, which is based on older navigation protocols including Anita Kanavalli. Its aim is to optimize energy consumption of networks. This protocol was simulated using NS_2 and assessed. This study well with inexact and nonhomogeneous input and does not require heavy processing. This scheme uses the number of “sends” to a node instead of that node’s residual energy to determine its eligibility as a receiving node, and these results in drastic energy savings.