Delay Bounded Maintenance Scheme in Rechargeable Wireless Sensor Networks

In rechargeable wireless sensor networks, owing to the current energy conversion technology limitations, the energy harvested from surrounding environment usually is not enough to continually power sensor nodes. Therefore, the nodes have to operate in a very low duty cycle, which means nodes have to activate shortly and stay in the sleep state most of the time in order to recharge the energy. On the other hand, due to sporadic availability of energy, nodes must adjust their duty cycles continuously. Hence, packet delivery latency is critical in rechargeable WSNs. In this work, we introduce an active instance augmented scheme and provide an algorithm for finding the minimal sleep latency from a node to the sink by augmenting minimal h active instances. For bounding E2E delay from source node to the sink in the network, we propose an E2E delay maintenance solution. Through extensive simulation and experiments, we demonstrate our delay bound maintenance scheme is efficient to provide E2E delay guarantees in rechargeable wireless sensor networks.

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

[2]  Ting Zhu,et al.  ESC: Energy Synchronized Communication in sustainable sensor networks , 2009, 2009 17th IEEE International Conference on Network Protocols.

[3]  Shu Du,et al.  DW-MAC: a low latency, energy efficient demand-wakeup MAC protocol for wireless sensor networks , 2008, MobiHoc '08.

[4]  Guoliang Xing,et al.  Dynamic duty cycle control for end-to-end delay guarantees in wireless sensor networks , 2010, 2010 IEEE 18th International Workshop on Quality of Service (IWQoS).

[5]  Tian He,et al.  Bounding Communication Delay in Energy Harvesting Sensor Networks , 2010, 2010 IEEE 30th International Conference on Distributed Computing Systems.

[6]  Y. Z. Zhao,et al.  An energy-efficient and low-latency MAC protocol with Adaptive Scheduling for multi-hop wireless sensor networks , 2010, Comput. Commun..

[7]  Khaled Ben Letaief,et al.  End-to-End Delay Constrained Routing and Scheduling for Wireless Sensor Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[8]  Elaine Shi,et al.  Designing secure sensor networks , 2004, IEEE Wireless Communications.

[9]  Sunshin An,et al.  Energy Efficient Topology Control based on Sociological Cluster in Wireless Sensor Networks , 2012, KSII Trans. Internet Inf. Syst..

[10]  J.M. Conrad,et al.  A survey of energy harvesting sources for embedded systems , 2008, IEEE SoutheastCon 2008.

[11]  Narjes Torabi,et al.  Bounded Delay Transmission of Different Traffic Classes in Wireless Sensor Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[12]  M. Wawryszczuk,et al.  An energy effective method for topology control in wireless sensor networks , 2012, 2012 19th International Conference on Microwaves, Radar & Wireless Communications.

[13]  Bin Xu,et al.  Delay-Aware Routing in Low Duty-Cycle Wireless Sensor Networks , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[14]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[15]  Chien-Chung Shen,et al.  Sensor information networking architecture and applications , 2001, IEEE Wirel. Commun..

[16]  Shu Du,et al.  RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[17]  Chang-Gun Lee,et al.  Probabilistic QoS guarantee in reliability and timeliness domains in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[18]  Bhaskar Krishnamachari,et al.  Delay efficient sleep scheduling in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

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