Energy and latency optimization in software defined wireless networks

Extension of network lifetime and reduction of latency are two of the most challenging topics in Wireless Sensor Networks (WSNs). This work presents a novel approach utilizing of Mixed Integer Programming (MIP) optimization. We explain how such an approach is made viable for WSNs via new wireless software defined network (WSDN) architectures and protocols. Our optimization procedure adapts to changing network conditions, particularly to uncertainties in energy consumption and link power requirements to allow for a settable trade off between WSN network latency and network lifetime. We furnish a performance evaluation of our algorithm at a particular setting against a fairly large collection of simulated sensor networks with random node placements.

[1]  Shao-Shan Chiang,et al.  A Minimum Hop Routing Protocol for Home Security Systems Using Wireless Sensor Networks , 2007, IEEE Transactions on Consumer Electronics.

[2]  Song Guo,et al.  Energy Minimization in Multi-Task Software-Defined Sensor Networks , 2015, IEEE Transactions on Computers.

[3]  Fabrizio Granelli,et al.  Software defined and virtualized wireless access in future wireless networks: scenarios and standards , 2015, IEEE Communications Magazine.

[4]  Pravin Varaiya,et al.  On multi-hop routing for energy efficiency , 2005, IEEE Communications Letters.

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

[6]  Hwee Pink Tan,et al.  Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks , 2012, IEEE Communications Letters.

[7]  Laura Galluccio,et al.  SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[8]  Sajjad Ahmad Madani,et al.  Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks , 2011, EURASIP J. Wirel. Commun. Netw..

[9]  Bülent Tavli,et al.  Optimal data compression and forwarding in wireless sensor networks , 2010, IEEE Communications Letters.

[10]  Suresh Singh,et al.  Greening of the internet , 2003, SIGCOMM '03.

[11]  Athanasios V. Vasilakos,et al.  Software-Defined and Virtualized Future Mobile and Wireless Networks: A Survey , 2014, Mobile Networks and Applications.

[12]  Rui Wang,et al.  Energy-aware routing algorithms in Software-Defined Networks , 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

[13]  Keith Kirkpatrick,et al.  Software-defined networking , 2013, CACM.

[14]  Achyut Sakadasariya,et al.  Software defined network: Future of networking , 2018, 2018 2nd International Conference on Inventive Systems and Control (ICISC).

[15]  Marco Mellia,et al.  Reducing Power Consumption in Backbone Networks , 2009, 2009 IEEE International Conference on Communications.

[16]  Stefano Panzieri,et al.  Localization of networks with presence and distance constraints based on 1-hop and 2-hop mass-spring optimization , 2016, ICT Express.

[17]  M. Victoria Bueno-Delgado,et al.  Performance evaluation of MAC transmission power control in wireless sensor networks , 2007, Comput. Networks.

[18]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.