Optimal Probabilistic Energy-Aware Routing for Duty-Cycled Wireless Sensor Networks

Network lifetime is still the key issue when we deploy wireless sensor networks and IoT solutions in real-world applications. Current WSN research trends include duty-cycling at MAC layer and energy efficient routing at network layer, among others. In this study we propose an Optimal Probabilistic Energy-Aware Routing Protocol (OPEAR) for duty-cycled WSNs which aims at maximizing the network lifetime by keeping low energy consumption and balancing network traffic between nodes. Our experimental campaign reveals that our OPEAR protocol outperforms the popular Energy Aware Routing Protocol (EAR) from the literature, proving to be more effective in extending the network lifetime.

[1]  Christos Koulamas,et al.  A modeling approach on the TelosB WSN platform power consumption , 2010, J. Syst. Softw..

[2]  Robert Tappan Morris,et al.  a high-throughput path metric for multi-hop wireless routing , 2005, Wirel. Networks.

[3]  Parma Nand,et al.  Probability Based Improved Broadcasting for AODV Routing Protocol , 2011, 2011 International Conference on Computational Intelligence and Communication Networks.

[4]  Robert Tappan Morris,et al.  a high-throughput path metric for multi-hop wireless routing , 2003, MobiCom '03.

[5]  Jung-Ryun Lee,et al.  Energy-Efficient Probabilistic Routing Algorithm for Internet of Things , 2014, J. Appl. Math..

[6]  Yeqiong Song,et al.  MPIGate: A Solution to Use Heterogeneous Networks for Assisted Living Applications , 2012, 2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing.

[7]  Jan M. Rabaey,et al.  Energy aware routing for low energy ad hoc sensor networks , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

[8]  Robert Tappan Morris,et al.  ExOR: opportunistic multi-hop routing for wireless networks , 2005, SIGCOMM '05.

[9]  Jakob Buron,et al.  Home Automation Routing Requirements in Low-Power and Lossy Networks , 2008, RFC.

[10]  Adam Dunkels,et al.  Cross-Level Sensor Network Simulation with COOJA , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[11]  Annapurna P Patil,et al.  Design of an Energy Efficient Routing Protocol for MANETs based on AODV , 2011 .

[12]  Anantha Chandrakasan,et al.  Bounding the lifetime of sensor networks via optimal role assignments , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[13]  Bülent Tavli,et al.  Impact of Limiting Hop Count on the Lifetime of Wireless Sensor Networks , 2015, IEEE Communications Letters.

[14]  Adam Dunkels,et al.  The ContikiMAC Radio Duty Cycling Protocol , 2011 .

[15]  Qin Wang,et al.  Energy Consumption Model for Power Management in Wireless Sensor Networks , 2007, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[16]  Ravindra K. Ahuja,et al.  Network Flows: Theory, Algorithms, and Applications , 1993 .

[17]  Di Yuan,et al.  Probabilistic Routing in Opportunistic Ad Hoc Networks , 2012 .

[18]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[19]  Mark A. Shayman,et al.  Energy Efficient Routing in Wireless Sensor Networks , 2003 .