An Energy Efficiency Routing Algorithm for increasing area and frequency of Wireless Sensor Networks

The key challenge in wireless sensor network protocol design is to provide energy efficient communication, as most of the nodes in sensor networks have limited battery power and it is not feasible to recharge or replace the batteries. There are so many levels of power consumption in sensor networks like as: idle listening, retransmissions resulting from collisions, control packet overhead, unnecessarily high transmitting power and sub-optimal utilization of the available resources. By definition, sensor nodes are deployed in an ad hoc fashion, with individual nodes remaining largely inactive for long periods of time. In order to minimize power consumed during idle listening, some nodes, which can be considered redundant, can be put to sleep. Therefore, the energy of the nodes and the network needs to be conserved. The idea is sensor nodes dynamically create on-off schedules such that the nodes will be awake only when they are needed. This also limits the collisions; therefore, the energy consumed during retransmissions can be saved. Although, it seems best way to limit consumed energy and the main consideration should be energy efficiency, the other Quality of Service (QoS) issues have to be considered. The key design considerations for duty cycle control protocol design are scheduling and routing. The research through this paper will be focused on routing protocol for modern high speed integrated wireless sensor networks.

[1]  Om Prakash Vyas,et al.  Network Layer Protocols for Wireless Sensor Networks: Existing Classifications and Design Challenges , 2010 .

[2]  Hongchi Shi,et al.  Analysis of Energy Consumption in Clustered Wireless Sensor Networks , 2007, 2007 2nd International Symposium on Wireless Pervasive Computing.

[3]  Dimitrios D. Vergados,et al.  Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[4]  I. Memon,et al.  Real Time Traffic Support in Wireless Sensor Networks , 2005, 2005 Student Conference on Engineering Sciences and Technology.

[5]  Kay Römer,et al.  The design space of wireless sensor networks , 2004, IEEE Wireless Communications.

[6]  Saeid Nahavandi,et al.  Sensor Node Activity Scheduling Approach , 2007, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07).

[7]  Ioan Raicu Routing Algorithms for Wireless Sensor Networks , 2004, ArXiv.

[8]  Alvise Bonivento,et al.  Adaptive sleep discipline for energy conservation and robustness in dense sensor networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[9]  Stephan Olariu,et al.  Information assurance in wireless sensor networks , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[10]  Sartaj Sahni,et al.  Algorithms for Wireless Sensor Networks , 2005, Int. J. Distributed Sens. Networks.

[11]  Cong Wang,et al.  A Secure Routing Protocol for Cluster-Based Wireless Sensor Networks Using Group Key Management , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[12]  Jasbir Kaur,et al.  Improved LEACH Protocol for Wireless Sensor Networks , 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

[13]  Amit Sharma,et al.  Energy Management for Wireless Sensor Network Nodes , 2011 .

[14]  Christos Douligeris,et al.  Energy Efficient Routing in Wireless Sensor Networks Through Balanced Clustering , 2013, Algorithms.

[15]  C. Karakus,et al.  Analysis of Energy Efficiency of Compressive Sensing in Wireless Sensor Networks , 2013, IEEE Sensors Journal.

[16]  Deepali Kansal,et al.  Compression of Various Routing Protocol in Wireless Sensor Network , 2010 .