Traffic-Aware Energy Efficient Routing (TEER) Using Multi-Criteria Decision Making for Wireless Sensor Network

Wireless sensor networks (WSN) is widely used for gathering data, and thus efficient routing is one of the key operations. Since each node of WSN is battery-powered, its lifetime is limited. To support energy-efficient routing for WSN, a novel routing algorithm is presented in this paper which decides the next hop using multiple criteria decision making (MCDM) technique. Here the hybrid virtual potential field representing communication distance, queue length, and residual energy of each node is employed in the MCDM. The simulation results show that the proposed scheme substantially prolongs the network lifetime and reduces packet loss rate compared with the existing routing algorithms.

[1]  Mr. J. Janaki Ramaiah Dynamic Routing for Data Integrity and Delay Differentiated Services in Wireless Sensor Networks , 2016 .

[2]  Alexandros Labrinidis,et al.  Multi-criteria routing in wireless sensor-based pervasive environments , 2005, Int. J. Pervasive Comput. Commun..

[3]  B. Malakooti,et al.  A Distributed Composite Multiple Criteria Routing Using Distance Vector , 2006, 2006 IEEE International Conference on Networking, Sensing and Control.

[4]  Mohamed F. Younis,et al.  Topology management techniques for tolerating node failures in wireless sensor networks: A survey , 2014, Comput. Networks.

[5]  Sajal K. Das,et al.  Real-time routing in wireless sensor networks: A potential field approach , 2013, TOSN.

[6]  Xiongwen Zhao,et al.  Energy-Efficient Routing Algorithm Based on Multiple Criteria Decision Making for Wireless Sensor Networks , 2015, Wirel. Pers. Commun..

[7]  Vincent W. S. Wong,et al.  An Energy-Efficient Multipath Routing Protocol for Wireless Sensor Networks , 2006, IEEE Vehicular Technology Conference.

[8]  Jan M. Rabaey,et al.  Energy aware routing for low energy ad hoc sensor networks , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

[9]  Dirk Timmermann,et al.  Low energy adaptive clustering hierarchy with deterministic cluster-head selection , 2002, 4th International Workshop on Mobile and Wireless Communications Network.

[10]  Lovepreet Kaur,et al.  Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2014 .

[11]  Lifford McLauchlan,et al.  An Approach to Construct Weighted Minimum Spanning Tree in Wireless Sensor Networks , 2015, Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

[12]  Peter C. Fishburn,et al.  Letter to the Editor - Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments , 1967, Oper. Res..

[13]  Wendi B. Heinzelman,et al.  Adaptive protocols for information dissemination in wireless sensor networks , 1999, MobiCom.

[14]  Shayesteh Tabatabaei Multiple criteria routing algorithms to increase durability path in mobile ad hoc networks , 2009, 2009 International Conference for Internet Technology and Secured Transactions, (ICITST).

[15]  Anindya Basu,et al.  Routing using potentials: a dynamic traffic-aware routing algorithm , 2003, SIGCOMM '03.

[16]  L. Anojkumar,et al.  Comparative analysis of MCDM methods for pipe material selection in sugar industry , 2014, Expert Syst. Appl..

[17]  N. Sarma,et al.  Energy efficient routing protocols for WSN's , 2013, 2013 International Conference on Computer Communication and Informatics.