Voluntary Cooperative Energy Harvesting Relay Nodes: Analysis and Benefits

The use of energy harvesting (EH) nodes as cooperative relays is an attractive solution that harnesses the spatial diversity of a multi-relay network and also addresses the vexing problem of a relay's batteries getting drained when it forwards information to the destination. For a general class of stationary and ergodic energy harvesting processes, we analytically characterize the performance of a cooperative system in which the EH nodes are amplify-and-forward relays, which volunteer to relay if and only if they have sufficient energy for transmission. We show that when such systems employ relay selection, the energy usage at any relay and, consequently, its availability for relaying depend not only on its energy harvesting process but also the total number of relays and the relay selection policy. Further insight is gained by a two-fold asymptotic analysis that considers the cases where the signal-to-noise ratio (SNR) or the number of relays is large. The optimal static transmit power setting at the EH relays is also determined. Altogether, our results show that EH relays are beneficial and different from conventional cooperative relays.

[1]  Mostafa Kaveh,et al.  Exact symbol error probability of a Cooperative network in a Rayleigh-fading environment , 2004, IEEE Transactions on Wireless Communications.

[2]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[3]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[4]  Andrea Fumagalli,et al.  Cooperative and Reliable ARQ Protocols for Energy Harvesting Wireless Sensor Nodes , 2007, IEEE Transactions on Wireless Communications.

[5]  Aggelos Bletsas,et al.  A simple Cooperative diversity method based on network path selection , 2005, IEEE Journal on Selected Areas in Communications.

[6]  Neelesh B. Mehta,et al.  Implications of Energy Profile and Storage on Energy Harvesting Sensor Link Performance , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[7]  George K. Karagiannidis,et al.  PHY-layer Fairness in Amplify and Forward Cooperative Diversity Systems , 2008, IEEE Transactions on Wireless Communications.

[8]  Salama Ikki,et al.  Performance Analysis of Generalized Selection Combining for Amplify-and-Forward Cooperative-Diversity Networks , 2009, 2009 IEEE International Conference on Communications.

[9]  George K. Karagiannidis,et al.  Performance analysis of single relay selection in rayleigh fading , 2008, IEEE Transactions on Wireless Communications.

[10]  D. Owen Handbook of Mathematical Functions with Formulas , 1965 .

[11]  Dariush Divsalar,et al.  Some new twists to problems involving the Gaussian probability integral , 1998, IEEE Trans. Commun..

[12]  Alejandro Ribeiro,et al.  Symbol error probabilities for general cooperative links , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[13]  Dusit Niyato,et al.  Sleep and Wakeup Strategies in Solar-Powered Wireless Sensor/Mesh Networks: Performance Analysis and Optimization , 2007, IEEE Transactions on Mobile Computing.

[14]  Mani B. Srivastava,et al.  Emerging techniques for long lived wireless sensor networks , 2006, IEEE Communications Magazine.

[15]  Raviraj S. Adve,et al.  Symbol error rate of selection amplify-and-forward relay systems , 2006, IEEE Communications Letters.

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

[17]  Zhu Han,et al.  Lifetime maximization via cooperative nodes and relay deployment in wireless networks , 2007, IEEE Journal on Selected Areas in Communications.

[18]  Roy D. Yates,et al.  A generic model for optimizing single-hop transmission policy of replenishable sensors , 2009, IEEE Transactions on Wireless Communications.

[19]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[20]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[21]  Chandra R. Murthy Power management and data rate maximization in wireless Energy Harvesting Sensors , 2008, PIMRC.