Indian Journal of Science and Technology

Abstract

Objectives: Human area network is one of the hot key research domains in the area of IEEE 802.15.6 standard. In the world of mobility, end user requires high sophistication and easy data access. This leads to heavy traffic within the gadgets. Hence to overcome these problems a novel route model is proposed. Methods/Statistical Analysis: This paper presents a route level content based store-and forward packet routing algorithm for Wireless Human Area Networks in distributed cloud environment. Findings: A prototype WHAN has been built for symbolizing on-body topology disconnections in the presence of ultra-short range wireless links (Cloud), volatile RF dilution, and humanoid motion. A route level content based store-and forward packet routing protocol is then developed for optimistic dynamic routing algorithm. Here, an Adaptivepoint framework is created within the Cloud architecture, targeting to deliver reliable routing service for WHAN-inter body communication, where each HAN node functions as a mobile service node and predicts its future locations by generating Adaptive point messages, which describe the route of the node’s movement. Semi-cloud module in cloud collects the Adaptive point information and makes decision for inter communication WHAN nodes. The proposed methodology reveals the globally optimized routing path in terms of message delivery and protocol constraint. The performance of the proposed model has been evaluated and experimental results reveal the improvement of routing problem in WHAN. Application/ Improvements: This method is applicable in packet data transmission for the wireless cloud environment.

Keywords: Cloud Computing, HAN Protocol, Mobile Computing, On-Body Communication, WHAN