A Novel Energy-Link Failure Recovery Routing (E-LFRR) Algorithm for QOS Optimization in Wireless Sensor Network

Abstract

Wireless Sensor Network (WSN) is a collection of
sensor devices capable of sensing and transmitting
environmental changes to a common base station (BS) or sink.
Energy efficiency and lifetime enhancement is complex in these
networks due to lack of centralized control system, data
intensive nature and battery limited communications. Several
energy preserving techniques including clustering and tree
based routing were proposed to overcome energy drain and
data handling issues, as a part of optimizing network. The fore
said authentication process compromise with Quality of
Service (QoS) and increases complexity that ceases the
performance of the routing algorithm. We propose an
integrated approach for energy optimization and node
recovery post failure method, Energy-Link Failure Recovery
Routing (E-LFRR) algorithm that utilizes both traditional
routing process and specific node selection scheme in an
adaptive fashion. E-LFRR monitors node energy level through
Monitored Transmission (MT) and pursues communication
through Replaced Transmission (RT. E-LFRR intend to
minimize early energy drain and uncontrolled broadcasts in
the network. Simulation results prove the combined approach
minimizes overhead, energy utilization and delay, retains
appreciable count of alive nodes and thus improving network
performance.