An Efficient Data Delivery Scheme in WBAN to Deal with Shadow Effect due to Postural Mobility

• Published in: Wireless personal communications Vol. 117; no. 1; pp. 129 - 149
• Main Authors: Goyal, Reema, Patel, R. B., Bhaduria, H. S., Prasad, Devendra
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-03-2021; Springer Nature B.V
• Subjects: Back propagation networks; Body area networks; Centroids; Cluster analysis; Clustering; Communications Engineering; Computer Communication Networks; Engineering; Human body; Networks; Neural networks; Nodes; Posture; Shadows; Signal,Image and Speech Processing; Vector quantization; Walking; WBAN; RF technology; More; Artificial neural network; K-means clustering
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-019-06997-5

The body movement and change in posture exhibit high mobility in sensor nodes which causes shadowing in the Wireless Body Area Network (WBAN). Due to this, the connectivity between the nodes in WBAN is affected which further causes failure in data delivery. This article presents a MAC protocol in WBAN to deal with the problem of data delivery due to body movement and postural mobility. It uses an Improved Initial Centroid K-means clustering technique for classification of various human body postures followed by back propagation neural network as a classifier to recognize human body posture. This article proposes a posture aware dynamic data delivery (PA-DDD) protocol to deliver data dynamically. The PA-DDD protocol can be used under varying speed walking scenario. The simulation results show that it prolongs the network lifetime and is energy efficient.