Energy-efficient and reliable data delivery in wireless sensor networks

Clustering has been used as one of energy-efficient mechanisms for data routing in wireless sensor networks. In hierarchical routing approaches, cluster heads are responsible for management (e.g. data aggregation, queries dispatch) and transmission of the collected data in the region controlled by them. For efficient data delivery, several researches have proposed various mechanisms for cluster organization and cluster head selection. However, less focus is given in the area of data transmission associated with Base Station (BS). In such a situation, any failure or packet loss may lead to considerable packet loss. For solving this problem, we propose an efficient data routing scheme for controlling data delivery from nodes to BS. In our proposed approach every node is aware about the link quality of all nodes and is able to deliver data to the BS through the most reliable and energy-efficient route.

[1]  Mohamed F. Younis,et al.  Energy-aware routing in cluster-based sensor networks , 2002, Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems.

[2]  Abdullah Erdal Tumer,et al.  Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks , 2010 .

[3]  Sarbani Roy,et al.  A modified SPIN for wireless sensor networks , 2011, 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011).

[4]  Gianluca Moro,et al.  W-Grid: A scalable and efficient self-organizing infrastructure for multi-dimensional data management, querying and routing in wireless data-centric sensor networks , 2012, J. Netw. Comput. Appl..

[5]  Yan-rong Cui.  Data Query Protocol with Restriction Flooding in Wireless Sensor Networks , 2009, 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.

[6]  Ivan Stojmenovic,et al.  GMR: Geographic Multicast Routing for Wireless Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[7]  Young-Bae Ko,et al.  Efficient clustering-based data aggregation techniques for wireless sensor networks , 2011, Wirel. Networks.

[8]  Yannis Manolopoulos,et al.  Energy-efficient distributed clustering in wireless sensor networks , 2010, J. Parallel Distributed Comput..

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

[10]  Yagiz Kaymak,et al.  Shortest hop multipath algorithm for wireless sensor networks , 2012, Comput. Math. Appl..

[11]  Jun Hwan Kim,et al.  Energy Efficient and Reliable Routing Scheme for Wireless Sensor Networks , 2009, 2009 International Conference on Communication Software and Networks.

[12]  Himabindu Pucha,et al.  Distributed Hashing for Scalable Multicast in Wireless Ad Hoc Networks , 2008, IEEE Transactions on Parallel and Distributed Systems.

[13]  Ivan Stojmenovic,et al.  Hierarchical Geographic Multicast Routing for Wireless Sensor Networks , 2007 .

[14]  Min Chen,et al.  Energy-efficient differentiated directed diffusion (EDDD) in wireless sensor networks , 2006, Comput. Commun..

[15]  R Camplani,et al.  A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring , 2011, IEEE Sensors Journal.

[16]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[17]  Hossam S. Hassanein,et al.  Placement of multiple mobile data collectors in wireless sensor networks , 2010, Ad Hoc Networks.

[18]  Mesut Gündüz,et al.  Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks , 2010, Sensors.

[19]  Julie A. McCann,et al.  VIBE: An energy efficient routing protocol for dense and mobile sensor networks , 2012, J. Netw. Comput. Appl..

[20]  Depei Qian,et al.  An Energy Efficient Weight-Clustering Algorithm in Wireless Sensor Networks , 2008, 2008 Japan-China Joint Workshop on Frontier of Computer Science and Technology.

[21]  Luca Benini,et al.  Adaptive Power Management for Environmentally Powered Systems , 2010, IEEE Transactions on Computers.

[22]  Nei Kato,et al.  Extending the lifetime of wireless sensor networks: A hybrid routing algorithm , 2012, Comput. Commun..

[23]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.