The adaptive node-selection mechanism scheme in solar-powered wireless sensor networks

This study also proposes a solar power-based adaptive node-selection protocol mechanism for a wireless sensor network to increase the monitor performance of wireless sensors. Using renewable energy, such as solar power, to improve the efficiency of sensors in wireless sensor networks has become a popular topic. Equipping the sensors with solar-powered equipment signifies that the sensors no longer have the limited battery life problem. This design can collect solar power to charge the sensor's battery. To solve node-selection problem, an adaptive node-selection mechanism (ANSM) scheme is proposed. The algorithm builds the energy-aware Steiner tree between sensors and sink. This scheme selects the least active node to reduce the overlapping of the sensor coverage but ensure constant coverage of the target area in solar-powered wireless sensor networks. This approach also considers the solar power consuming rate and humidity to solve the solar power problem in various environments.

[1]  Prasun Sinha,et al.  Maximizing the Lifetime of a Barrier of Wireless Sensors , 2010, IEEE Transactions on Mobile Computing.

[2]  Bob O'Dea,et al.  Energy efficient system design with optimum transmission range for wireless ad hoc networks , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[3]  Jie Wang,et al.  Strong barrier coverage of wireless sensor networks , 2008, MobiHoc '08.

[4]  Ramesh Govindan,et al.  Understanding packet delivery performance in dense wireless sensor networks , 2003, SenSys '03.

[5]  Béla Bollobás,et al.  Reliable density estimates for coverage and connectivity in thin strips of finite length , 2007, MobiCom '07.

[6]  Huang Lee,et al.  Wakeup scheduling in wireless sensor networks , 2006, MobiHoc '06.

[7]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[8]  Carlos A. Pomalaza-Raez,et al.  Energy Optimization in Multihop Wireless Embedded and Sensor Networks , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[9]  Viktor K. Prasanna,et al.  Energy-Balanced Task Allocation for Collaborative Processing in Wireless Sensor Networks , 2005, Mob. Networks Appl..

[10]  Mani B. Srivastava,et al.  Performance aware tasking for environmentally powered sensor networks , 2004, SIGMETRICS '04/Performance '04.

[11]  Koushik Kar,et al.  Dynamic node activation in networks of rechargeable sensors , 2005, IEEE/ACM Transactions on Networking.

[12]  Tarek F. Abdelzaher,et al.  Towards optimal sleep scheduling in sensor networks for rare-event detection , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[13]  Neeraj Jaggi Robust Threshold based Sensor Activation Policies under Spatial Correlation , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.

[14]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2001, MobiCom '01.

[15]  Anish Arora,et al.  Barrier coverage with wireless sensors , 2005, MobiCom '05.