A lightweight temperature scheduling routing algorithm for an implanted sensor network

Modern diagnosis system has been evolved to equip human being with advanced health-service. In vivo sensors have come up to contribute in this field with its support in miniature, complex operation as implanted in a human body. Implanted sensor solutions like artificial retina, pacemaker and implanted cardioverter defibrillators, insulin pump, glucose monitor — are remarkable inventions in medical science. But, these implanted sensor nodes exhibit temperature at packet transmission or processing time that can be dangerous for surrounding human tissues. With the advancement of wireless communication and sensor network technology, thermal aware routing algorithms have been proposed for this type of sensor network. But, these algorithms suffer from disadvantages like hotspot creation, computational complexity overhead or redundant hop traversal etc. We also have to consider energy constraints like limited battery life of this miniature form of sensor nodes. We have tried to solve these problems with lightweight event-based communication (publish-subscribe system) in this type of sensor network. We have proposed a lightweight temperature scheduling routing algorithm for this implanted sensor network. Proposed routing protocol is considered to schedule temperature in implanted sensor nodes deployed in the joint operation of cancer hyperthermia, radio-therapy and chemo-therapy.

[1]  Geoffrey G. Messier,et al.  Traffic models for medical wireless sensor networks , 2007, IEEE Communications Letters.

[2]  Arunabha Sen,et al.  Approximation Algorithm for Avoiding Hotspot Formation of Sensor Networks for Temperature Sensitive Environments , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[3]  Nada Golmie,et al.  Prevailing over wires in healthcare environments: benefits and challenges , 2006, IEEE Communications Magazine.

[4]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[5]  Victor C. M. Leung,et al.  Enabling technologies for wireless body area networks: A survey and outlook , 2009, IEEE Communications Magazine.

[6]  Mostafa A. Bassiouni,et al.  Energy Efficient Thermal Aware Routing Algorithms for Embedded Biomedical Sensor Networks , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[7]  Sandeep K. S. Gupta,et al.  Communication scheduling to minimize thermal effects of implanted biosensor networks in homogeneous tissue , 2005, IEEE Transactions on Biomedical Engineering.

[8]  Mostafa A. Bassiouni,et al.  Hotspot Preventing Routing algorithm for delay-sensitive applications of in vivo biomedical sensor networks , 2008, Inf. Fusion.

[9]  Benton H. Calhoun,et al.  Body Area Sensor Networks: Challenges and Opportunities , 2009, Computer.

[10]  Peter Pietzuch.  Hermes: A scalable event-based middleware , 2004 .

[11]  Sandeep K. S. Gupta,et al.  TARA: Thermal-Aware Routing Algorithm for Implanted Sensor Networks , 2005, DCOSS.

[12]  Jianfeng Wang,et al.  Applications, challenges, and prospective in emerging body area networking technologies , 2010, IEEE Wireless Communications.

[13]  Zygmunt J. Haas,et al.  A new networking model for biological applications of ad hoc sensor networks , 2006, TNET.

[14]  E. D. Hager,et al.  Hyperthermia in Cancer Treatment: A Primer , 2006 .

[15]  Daisuke Takahashi,et al.  Temperature-Aware Routing for Telemedicine Applications in Embedded Biomedical Sensor Networks , 2008, EURASIP J. Wirel. Commun. Netw..

[16]  Yang Xiao,et al.  LTRT: Least Total-Route Temperature Routing for Embedded Biomedical Sensor Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[17]  Caixia Chi,et al.  Lazy flooding: a new technique for information dissemination in distributed network systems , 2001, 2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479).

[18]  Mingyan Liu,et al.  Controlled Flooding Search in a Large Network , 2007, IEEE/ACM Transactions on Networking.