Fault tolerant virtual backbone for minimum temperature in in vivo sensor networks

Abstract

Body sensor nodes those are implanted inside human body for comparatively long term monitoring, are termed as implanted or implantable or in vivo sensor nodes. In recent years, in vivo sensor nodes are getting increasing interest from clinicians or researchers around the world. These nodes are noninvasive and can provide more accurate information in terms of medical science being implanted on/near the targeted body-organ. Moreover, movement of human or body organ does not affect the functionality of in vivo nodes. However, in vivo sensor nodes exhibit temperature at processing or communication time, which might be dangerous for human tissue in long term monitoring. Thermal aware routing algorithms have been proposed to deal with the problem. But, these algorithms suffer from limitations like hotspot creation, computational complexity, delay etc. A virtual backbone is a small subset of connected sensor nodes and it is connected to all other sensor nodes of the set. All virtual backbone nodes involve less interference, congestion and lightweight communication those are significant for an in vivo sensor network. In this context, we have proposed fault-tolerant virtual backbone construction algorithm to schedule temperature(routing cost) in an in vivo environment. Fault-tolerance virtual backbone is significant in the sense that when any node or nodes of a in vivo virtual backbone has/have higher temperature, the path is disconnected and communication is continued with an alternative path. Therefore, temperature is scheduled in an in vivo sensor network.