Using a dynamic backbone for efficient data delivery in solar-powered WSNs

The periodic nature of solar power requires a different approach to energy consumption in wireless sensor networks (WSNs) from battery-based WSNs. Based on the energy model of a solar-powered node, we develop efficient energy-aware topology-control and routing schemes which utilize a backbone network consisting of energy-rich nodes within the WSN. This backbone handles most of the traffic with low latency, while reconfiguring itself dynamically in response to changes in the availability of energy at each node. Simulation results demonstrate that our schemes can achieve a balance between latency and energy consumption.

[1]  Jan M. Rabaey,et al.  Altruists in the PicoRadio sensor network , 2002, 4th IEEE International Workshop on Factory Communication Systems.

[2]  Mani B. Srivastava,et al.  An environmental energy harvesting framework for sensor networks , 2003, ISLPED '03.

[3]  Heonshik Shin,et al.  Low-Latency Geographic Routing for Asynchronous Energy-Harvesting WSNs , 2008, J. Networks.

[4]  Dario Pompili,et al.  Optimal local topology knowledge for energy efficient geographical routing in sensor networks , 2004, IEEE INFOCOM 2004.

[5]  Ivan Stojmenovic,et al.  Power and cost aware localized routing with guaranteed delivery in unit graph based ad hoc networks , 2004, Wirel. Commun. Mob. Comput..

[6]  Ivan Stojmenovic,et al.  Localized Algorithms for Detection of Critical Nodes and Links for Connectivity in Ad hoc Networks , 2004 .

[7]  Dong Kun Noh,et al.  SolarStore: enhancing data reliability in solar-powered storage-centric sensor networks , 2009, MobiSys '09.

[8]  Ivan Stojmenovic,et al.  Power and cost aware localized routing with guaranteed delivery in unit graph based ad hoc networks: Research Articles , 2004 .

[9]  Heonshik Shin,et al.  QoS-Aware Geographic Routing for Solar-Powered Wireless Sensor Networks , 2007, IEICE Trans. Commun..

[10]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[11]  Paolo Santi.  Topology control in wireless ad hoc and sensor networks , 2005 .

[12]  Dong Kun Noh,et al.  AdaptSens: An Adaptive Data Collection and Storage Service for Solar-Powered Sensor Networks , 2009, 2009 30th IEEE Real-Time Systems Symposium.

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

[14]  Lui Sha,et al.  Design and analysis of an MST-based topology control algorithm , 2003, IEEE Transactions on Wireless Communications.

[15]  Wendi B. Heinzelman,et al.  Application-specific protocol architectures for wireless networks , 2000 .

[16]  Adam Dunkels,et al.  Solar-aware clustering in wireless sensor networks , 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).

[17]  Hartmut Ritter,et al.  Utilizing solar power in wireless sensor networks , 2003, 28th Annual IEEE International Conference on Local Computer Networks, 2003. LCN '03. Proceedings..

[18]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).