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A Multi Aware Multi-Levels Heterogenous Routing (MAMHR) Protocol for Wireless Sensor Networks


Affiliations
1 Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India
     

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Wireless Sensor Networks (WSNs) are generally set out in a remote workplace, since the sensor nodes are tiny in size, cost-proficient, low-power gadgets, and have restricted battery supply. Due to the constrained availability of power sources, energy utilization has been considered as the most crucial factor for proposing network routing protocols. The fundamental concern is to improve the lifetime of the network based on the energy constraints. Several homogenous cluster-based routing protocols have been proposed in literature for lifetime improvement of the sensor network but many of them fail to function effectively in heterogeneous environment and moreover, these protocols have not considered any other awareness parameters than lifetime and energy consumption. In this work, a Multi Aware Multi-Levels Heterogeneous Routing (MAMHR) protocol, focusing on the principle of multi-level heterogeneity by considering multiple awareness parameters of the network such as Quality of Service (QoS), shortest path estimation and suitable localization technique, is proposed. Scoped Bellman Ford Routing (SBFR) algorithm is used for shortest path estimation, Reliability, Availability, and Serviceability (RAS) factors are considered for QoS awareness and Time Difference of Arrival (TDOA) technique is used for location estimation. Lifetime awareness parameters of the proposed scheme were compared with already existing prominent protocols LEACH, SEP and ZSEP and a significant improvement in lifetime of entire network was obtained. Simulation results corresponding to the respective multiple awareness parameters also shows that these parameters can be incorporated into the selected heterogeneous environment without affecting the energy consumption constraints of the proposed scheme.

Keywords

WSNs, Lifetime Improvement, MAMHR, QoS and TDOA Localization.
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  • Sudhanshu Tyagi, Sudeep Tanwar, Sumit Kumar Gupta, Neeraj Kumar and C. Rodrigues, “A Lifetime Extended Multi-Levels Heterogeneous Routing Protocol for Wireless Sensor Networks”, Telecommunication Systems, Vol. 59, No. 1, pp. 43-62, 2015.

  • Rajesh Patel, Sunil Pariyani and Vijay Ukani, “Energy and Throughput Analysis of Hierarchical Routing Protocol(LEACH) for Wireless Sensor Networks”, International Journal of Computer Applications, Vol. 20, No. 4, pp. 32-36, 2011.

  • G. Smaragdakis, I. Matta and A. Bestavros, “SEP: A Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks”, Master Thesis, Department of Computer Science, Boston University, 2004.

  • Banoth Thirumala, B. Vijay Kumar and Aloth Sowjanya, “Zonal-Stable Election Protocol for Wireless Sensor Networks”, International Journal of Ethics in Engineering and Management Education, Vol. 3, No. 10, pp. 23-29, 2016 [5] G. Han, H. Xu, T.Q. Duong, J. Jiang and T. Hara, “Localization Algorithms of Wireless Sensor Networks: A Survey”, Telecommunication Systems, Vol. 52, No. 4, pp. 2419-2436, 2013.

  • R. Kozick and B. Sadler, “Source Localization with Distributed Sensor Arrays and Partial Spatial Coherence”, IEEE Transactions on Signal Processing, Vol. 52, No. 3, pp. 601-616, 2004.

  • K.C. Ho, X. Lu, and L. Kovavisaruch, “Source Localization using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: ANALYSIS and Solution”, IEEE Transactions on Signal Processing, Vol. 55, No. 2, pp. 684-696, 2007.

  • A. Perrig, J. Stankovic and D. Wagner, “Security in Wireless Sensor Networks”, Communications of the ACM, Vol. 47, No. 6, pp. 53-57, 2004.

  • M.W. Chiang, Z. Zilic, K. Radecka and J.S. Chenard, “Architectures of Increased Availability Wireless Sensor Network Nodes”, Proceedings of ITC International Test Conference, pp. 1232-1244, 2004.

  • Frey Hannes and Gorgen Daniel, “Geographical Cluster-based Routing in Sensing-Covered Networks”, IEEE Transactions on Parallel and Distributed Systems, Vol. 17, No. 9, pp. 899-911, 2006.

  • C. Karlof and D. Wagner, “Secure Routing in Wireless Sensor Networks: Attacks and Counter Measures”, Proceedings of 1st IEEE International Workshop on Sensor Network Protocols and Applications, pp. 293-315, 2003.

  • W.K. Ma, B.N. Vo, S.S. Singh and A. Baddeley, “Tracking an Unknown Time-Varying Number of Speakers using TDOA Measurements: A Random Finite Set Approach”, IEEE Transactions on Signal Processing, Vol. 54, No. 9, pp. 3291-3304, 2006.

  • E.H. Callaway, “Wireless Sensor Networks Architectures and Protocols”, Auerbach Publications, 2004.

  • S. Hariri and H. Mutlu, “Hierarchical Modeling of Availability in Distributed Systems”, IEEE Transactions on Software Engineering, Vol. 21, No. 1, pp. 50-56, 1995.

  • M. Younis K. Akkaya, “A Survey on Routing Protocols for Wireless Sensor Networks”, Ad Hoc Networks, Vol. 3, No. 3, pp. 325-349, 2005.

  • H.O. Tan and I. Korpeoglu, “Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks”, SIGMOD Record, Vol. 32, No. 4, pp. 66-71, 2003.

  • R.C. Shah and J. Rabaey, “Energy Aware Routing for Low Energy Ad Hoc Sensor Networks”, Proceedings of IEEE International Conference on Wireless Communications and Networking, pp. 17-21, 2002.

  • Y. Yu, D. Estrin and R. Govindan, “Geographical and Energy-Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks”, Technical Report, Department Computer Science, University of California, 2001.

  • A.T. Parameswaran et al., “Is RSSI a Reliable Parameter in Sensor Localization Algorithms: An Experimental Study”, Proceedings of Workshop on Field Failure Data Analysis, pp. 1-5, 2009.

  • D. Bein, V. Jolly, B. Kumar and S. Latifi, “Reliability Modeling in Wireless Sensor Networks”, Proceedings of IEEE International Conference on Long Island Systems, Applications and Technology, pp. 1-8, 2005.

  • R. Iyer and L. Kleinrock, “QoS Control for Sensor Networks”, Proceedings of IEEE International Conference on Communications, pp. 517-521, 2003.


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  • A Multi Aware Multi-Levels Heterogenous Routing (MAMHR) Protocol for Wireless Sensor Networks

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Authors

K. P. Indulekha
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India
G. Jayasree
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India
B. Malarkodi
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India

Abstract


Wireless Sensor Networks (WSNs) are generally set out in a remote workplace, since the sensor nodes are tiny in size, cost-proficient, low-power gadgets, and have restricted battery supply. Due to the constrained availability of power sources, energy utilization has been considered as the most crucial factor for proposing network routing protocols. The fundamental concern is to improve the lifetime of the network based on the energy constraints. Several homogenous cluster-based routing protocols have been proposed in literature for lifetime improvement of the sensor network but many of them fail to function effectively in heterogeneous environment and moreover, these protocols have not considered any other awareness parameters than lifetime and energy consumption. In this work, a Multi Aware Multi-Levels Heterogeneous Routing (MAMHR) protocol, focusing on the principle of multi-level heterogeneity by considering multiple awareness parameters of the network such as Quality of Service (QoS), shortest path estimation and suitable localization technique, is proposed. Scoped Bellman Ford Routing (SBFR) algorithm is used for shortest path estimation, Reliability, Availability, and Serviceability (RAS) factors are considered for QoS awareness and Time Difference of Arrival (TDOA) technique is used for location estimation. Lifetime awareness parameters of the proposed scheme were compared with already existing prominent protocols LEACH, SEP and ZSEP and a significant improvement in lifetime of entire network was obtained. Simulation results corresponding to the respective multiple awareness parameters also shows that these parameters can be incorporated into the selected heterogeneous environment without affecting the energy consumption constraints of the proposed scheme.

Keywords


WSNs, Lifetime Improvement, MAMHR, QoS and TDOA Localization.

References