Delay Tolerant Energy Efficient protocol for Inter-BAN Communication in Mobile Body Area Networks

Aarti Sangwan, Partha Pratim Bhattacharya

Abstract


Body Area Networks (BANs) are used in a range of applications. In these networks the sensor nodes attached to human body collect data and send it to controller node which in turn sends to a Base Station (BS) located at a remote location. The controller nodes in a BAN can be replaced easily but when it comes to BANs moving in areas like a war it is hard to replace the batteries frequently. So we need to reduce energy requirement of the nodes to increase the network lifetime. Using mobile sensors is one way to reduce energy and controller nodes can send data to sink easily while performing inter-BAN communication where nodes need to act in a cooperative manner to send data to BS using multi-hop communication. In this paper, we have proposed a new clustering algorithm in which probability of a node to become a Cluster Head (CH) is decided on the basis of its geographical location and residual energy of the node. Simulations results show that the proposed protocol is better than the existing EDDEEC protocol in terms of delay, energy efficiency, reliability and network lifetime. 


Keywords


Energy efficient; delay; mobility; body area networks; throughput

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References


H. Javdani, H. Kashanian. Internet of things in medical applications with a service-oriented and security approach: a survey. Health Technology. 2017. 1-12.

M Hämäläinen, X Li. Recent Advances in Body Area Network Technology and Applications. International Journal of Wireless Information Networks. 2017, vol. 24, no. 2, pp. 63-64.

M. Salayma , A. Al-Dubai , I. Romdhani and Y. Nasser, “Wireless body area network (WBAN): a survey on reliability, fault tolerance, and technologies coexistence,†ACM Computing Surveys (CSUR) 50:3, 2017.

A. Ali, F. A. Khan, “Energy-efficient cluster-based security mechanism for intra-WBAN and inter-WBAN communications for healthcare applications†EURASIP Journal on Wireless Communication and Networking, December 2013, 2013:216.

S AB Awwad, C. K. Ng, N. K. Noordin, and M. F. A. Rasid. "Cluster based routing protocol for mobile nodes in wireless sensor network." Wireless Personal Communications 61, no. 2 (2011): 251-281.

D. V. Jose, G. Sadashivappa, “Mobile Sink Assisted Energy Efficient Routing Algorithm for Wireless Sensor Networksâ€, World of Computer Science and Information Technology Journal (WCSIT), Vol. 5, No. 2, pp. 16-22, 2015.

Z. Ullah, I. Ahmed, K. Razzaq, M. K. Naseer and N. Ahmed, “DSCB: Dual sink approach using clustering in body area networkâ€, Peer-to-Peer Networking and Applications, pp. 1–14, Aug 2017.

S. Pr. Nayak, S.C. Rai and S. Pradhan, “A Multi-clustering Approach to Achieve Energy Efficiency Using Mobile Sink in WSNâ€, Computation Intelligence in Data Mining, vol. 556, pp. 793-801, May 2017.

D. Yadav and A. Tripathi, "Load balancing and position based adaptive clustering scheme for effective data communication in WBAN healthcare monitoring systems," Proc. IEEE 11th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, Jan. 2017, pp. 302-305.

T. Mukhtar and S. Chaudhary, "Energy efficient cluster formation and secure data outsourcing using TEOSCC and ECDH-IBT technique in WBAN," Proc. IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, March 2016, pp. 596-602.

Jau-Yang Chang and Pei-Hao Ju, “An energy-saving routing architecture with a uniform clustering algorithm for wireless body sensor networks,†Future Generation Computer Systems, vol. 35, June 2014, pp. 128-140.

F Afsana, N Jahan and MS Kaiser. An energy efficient cluster based forwarding scheme for body area network using nano-scale electromagnetic communication. In: Proceedings of IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), Dhaka. 2015, p. 491-494.

S Saha and D K Anvekar. Use of Central Mediator System and Cluster Head in Maintaining Fault Tolerance and Balancing the Load of Multithreaded Wireless Body Area Network (MWBAN) Data. Indian Journal of Science and Technology. 2016; 9, 1-4.

P. Saini and A. K. Sharma, “E-DEEC-enhanced distributed energy efficient clustering scheme for heterogeneous WSN,†In Proc of 1stInternational Conference on Parallel, Distributed and Grid Computing (PDGC-2010), Solan, India, Oct. 2010.

N. Javaid, M. B. Rasheed, M. Imran, M. Guizani, Z. A. Khan, T. A. Alghamdi and M. Ilahi, “An energy-efficient distributed clustering algorithm for heterogeneous WSNs,†EURASIP Journal on Wireless Communications and Networking (2015) 2015:151.

Jafri, M. Raza, N. Javaid, A. Javaid, Z. A. Khan, “Maximizing the lifetime of multi-chain pegasis using sink mobility†World Applied Sciences Journal, vol. 21, no. 9, pp. 1283-1289, March 2013.

Deepak Sethi, Partha Pratim Bhattacharya, “Revised Multi-Chain PEGASIS for Wireless Sensor Networks,†International Journal of Sensors, Wireless Communications and Control, vol.6, Issue 1, 2016, pp. 12-17.

W R Heinzelman, A P Chandrakasan, H Balakrishnan, “Energy efficient communication protocol for wireless micro sensor networks,†In Proc of the 33rd Hawaii International Conference on System Sciences (HICSS-33), Maui, HI, USA, Jan 2000.

Mottaghi, Saeid and M. R. Zahabi. “Optimizing LEACH clustering algorithm with mobile sink and rendezvous nodesâ€, AEU-International Journal of Electronics and Communications 69, 2 (2015): 507-514.

Kim, Kihyun, Ick-Soo Lee, M. Yoon, J. Kim, H. Lee, and K. Han. "An efficient routing protocol based on position information in mobile wireless body area sensor networks," In Proc of First International Conference on Networks and Communications (NETCOM'09), Chennai, India, pp. 396-399, Dec 2009.

Al-Turjman, Fadi M., H. S. Hassanein, and M. Ibnkahla. “Quantifying connectivity in wireless sensor networks with grid-based deployments.†Journal of Network and Computer Applications, vol. 36, no. 1 (2013): 368-377.

W.R. Heinzelman, A.P. Chandrakasan, H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, Oct. 2002.




DOI: http://dx.doi.org/10.18517/ijaseit.8.3.4502

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