Improving the Quality of Service in Wireless Body Area Networks using Genetic Algorithm

Abstract

Wireless Body Area Sensor Networks are the highly distributed network, in which its nodes are the organizer itself and each of them has the flexibility of gathering and sending patient biomedical knowledge to a terminal, that referred to as sink. When knowledge sent to sink from a path that doesn't have a definite basis, the routing is a crucial challenge in Wireless Body Area Sensor Networks, additionally reliability and routing delay are the considerable factors in these varieties of networks. A replacement methodology for improvement of routing that is using Genetic Algorithm has been proposed in this paper, such that for each of mentioned factors, a weight primarily based on their importance is specified, that are repeated over the races and have improved the reliability and delay. Analysis and assess of proposed algorithm simulation ends up in MATLAB, giving a motivating improvement than alternative typical ways.

Cluster Based Failure Detection and Recovery Technique for Wireless Body Area Networks

“…Achieving fault tolerance in WBAN is complicated owing to distinct networking situations (Yoo et al, 2009). The fault tolerant design technique in routing protocol of WBAN may wear out all resources easily and consequently leads to downfall of nodes (Santhosha and Sujatha, 2012).…”