Abstract

In wireless networks, low-power Zigbee is an excellent network solution for wireless medical monitoring systems. Medical monitoring generally involves transmission of a large amount of data and easily causes bottleneck problems. Although Zigbee’s AODV mesh routing provides extensible multi-hop data transmission to extend network coverage, it originally does not, and needs to support some form of load balancing mechanism to avoid bottlenecks. To guarantee a more reliable multi-hop data transmission for life-critical medical applications, we have developed a multipath solution, called Load-Balanced Multipath Routing (LBMR) to replace Zigbee’s routing mechanism. LBMR consists of three main parts: Layer Routing Construction (LRC), a Load Estimation Algorithm (LEA), and a Route Maintenance (RM) mechanism. LRC assigns nodes into different layers based on the node’s distance to the medical data gateway. Nodes can have multiple next-hops delivering medical data toward the gateway. All neighboring layer-nodes exchange flow information containing current load, which is the used by the LEA to estimate future load of next-hops to the gateway. With LBMR, nodes can choose the neighbors with the least load as the next-hops and thus can achieve load balancing and avoid bottlenecks. Furthermore, RM can detect route failures in real-time and perform route redirection to ensure routing robustness. Since LRC and LEA prevent bottlenecks while RM ensures routing fault tolerance, LBMR provides a highly reliable routing service for medical monitoring. To evaluate these accomplishments, we compare LBMR with Zigbee’s AODV and another multipath protocol, AOMDV. The simulation results demonstrate LBMR achieves better load balancing, less unreachable nodes, and better packet delivery ratio than either AODV or AOMDV.

Highlights

  • The demands of remote medical monitoring [1] keep growing

  • We evaluate Load-Balanced Multipath Routing (LBMR) compared with Ad Hoc On-demand Multipath Distance Vector (AOMDV) and Ad hoc On-demand Distance Vector (AODV), especially that AODV is used by numerous Zigbee based medical monitoring systems [10,11,12,20]

  • LBMR consists of Layer Routing Construction (LRC), Load Estimation Algorithm (LEA), and Route Maintenance (RM)

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Summary

Introduction

The demands of remote medical monitoring [1] keep growing. WiFi and Bluetooth are the most popular wireless media for wireless remote monitoring. In order to provide a reliable routing service for data-intensive medical applications, we propose Load-Balanced Multipath Routing (LBMR). To develop a better multipath solution to support data-intensive medical monitoring services, LBMR has a reliable layering architecture, where the routing computation is done locally among neighbors. This distributed layer architecture can avoid another bottleneck problem at cluster heads, such as the coordinator node in a Zigbee network. Since LBMR eliminates bottlenecks by load balancing design and provides multipath routing, LBMR provides a much more reliable routing service than current Zigbee AODV-related solutions. Simulation results show LBMR provides better load balancing and achieves better route maintenance with more reliable packet delivery comparing with AODV and AOMDV.

Scenario Illustration
2: LBMR routing in Zigbee
LBMR: Load Balancing Multipath Routing
Layer Routing Construction
Load Estimation Algorithm
Route Maintenance Mechanism
Experiments
Load Balancing
Route Maintenance
Packet Delivery Ratio
Findings
Conclusions
Full Text
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