Experimental Validation of Fuzzy Logic Based Routing Algorithm for Wireless Sensor Network Applied to Indoor Environments

This paper focuses on the experimental validation of the Fuzzy Logic Based Routing Algorithm (FLBRA) proposed for wireless sensor networks which operates in indoor environments in the context of building management systems. The fuzzy logic determines the cost of each link for the routing algorithm and calculates the lower cost path for packet forwarding. The network parameters used to determine the cost of each link through the Fuzzy Logic are the Received Signal Strength Indicator (RSSI), the standard deviation of the RSSI and the packet error rate. The routing algorithm based solely on the RSSI was also tested and compared to the FLBRA one. The proposal performance was evaluated using different scenarios in which different numbers of sensor nodes were considered in the same indoor environment. Both FLBRA and RSSI-based solutions were monitored and analyzed using the same testbed. It can be seen from the results that the FLBRA has a better performance, selecting the best routes with lower cost, in comparison to the solution solely based on the RSSI.

[1]  Yuan Cheng,et al.  A Novel Energy-Efficient Routing Algorithm in Multi-sink Wireless Sensor Networks , 2011, 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications.

[2]  Dieter Hogrefe,et al.  Fuzzy Logic Election of Node for Routing in WSNs , 2012, 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications.

[3]  C. Rosenberg,et al.  An address-light, integrated MAC and routing protocol for wireless sensor networks , 2006, IEEE/ACM Transactions on Networking.

[4]  Al-Sakib Khan Pathan,et al.  Prolonging the lifetime of wireless sensor networks using secondary sink nodes , 2016, Telecommun. Syst..

[5]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[6]  Teresa Olivares,et al.  Fuzzy Logic Applied to Decision Making in Wireless Sensor Networks , 2012 .

[7]  Giuseppe Anastasi,et al.  Wireless sensor and actuator networks for energy efficiency in buildings , 2012, 2012 Sustainable Internet and ICT for Sustainability (SustainIT).

[8]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[9]  Ehsan Ullah Munir,et al.  MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks , 2017, 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM).

[10]  Dong-Min Son,et al.  An Energy Efficient Cross-Layer MAC Protocol for Wireless Sensor Networks , 2006, APWeb Workshops.

[11]  Xavier Lagrange,et al.  A Cross-Layer Medium Access Control and Routing Protocol for Wireless Sensor Networks , 2009 .

[12]  David Ros,et al.  RSSI-Based Forwarding for Multihop Wireless Sensor Networks , 2009, EUNICE.

[13]  Azzedine Boukerche,et al.  An enhanced location-free Greedy Forward algorithm with hole bypass capability in wireless sensor networks , 2015, J. Parallel Distributed Comput..

[14]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[15]  Seyyed Javad Mirabedini,et al.  A new method for flat routing in wireless sensor networks using fuzzy logic , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[16]  Lotfi A. Zadeh.  A Summary and Update of “Fuzzy Logic” , 2010, 2010 IEEE International Conference on Granular Computing.

[17]  Lotfi A. Zadeh,et al.  Soft computing and fuzzy logic , 1994, IEEE Software.

[18]  David Bianchini,et al.  FLBRA: Fuzzy Logic Based Routing Algorithm for Indoor Wireless Sensor Networks , 2014, ArXiv.

[19]  Anis Koubaa,et al.  F-LQE: A Fuzzy Link Quality Estimator for Wireless Sensor Networks , 2010, EWSN.

[20]  Alan McGibney,et al.  Wi-design, Wi-manage, why bother? , 2011, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops.

[21]  Takahiro Hara,et al.  A Dynamic Route Construction Method Based on Measured Characteristics of Radio Propagation in Wireless Sensor Networks , 2009, 2011 IEEE International Conference on Advanced Information Networking and Applications.

[22]  I. Sakthidevi,et al.  Secured Fuzzy Based Routing Framework for dynamic wireless sensor networks , 2013, 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT).

[23]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[24]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.