Novel energy efficient predictive link quality based reliable routing for wireless multimedia bio-sensor networks in bio-medical invention research and bionic utilities monitoring application

摘要

With recent advancements and cheaper availability of small wireless devices, Wireless Multimedia Sensor Networks (WMSNs) are used in large number of applications which requires high Quality of Service (QoS) such as sensor surveillance network and bionic utilities monitoring etc. Satisfying these QoS requirements along with reliability and energy efficiency is a resource-constrained problem. This paper swot the impact of Link State Estimates and proposes an Energy Efficient Predictive Link Quality based Reliable Routing (EEPLQRR) scheme for WMSNs. EEPLQRR calculates the reliability scores to predict the link quality of various paths with optimal energy and finalises the reliable route. Simulations were done to evaluate EEPLQRR against Adaptive Reliable Routing based on Clustering Hierarchy and Multimedia Reliable Energy Efficient Routing Protocol. It conserved around 3-8 J of energy in 50 s, reduced 3-9% of packet drops with almost constant delay and had achieved 13-22% of increased network life time without affecting the network throughput.