Real-time link quality estimation for industrial wireless sensor networks using dedicated nodes

Adaptive mechanisms, such as dynamic channel allocation or adaptive routing, are used to deal with the variations in the link quality of Wireless Sensor Networks (WSN). In both cases, the first step is to estimate the link quality, so that the network nodes can decide if a channel or route change is needed. This paper proposes a Link Quality Estimator (LQE) for Industrial WSN, and a new type of node, the LQE node, that estimates the link quality in real-time, using the Received Signal Strength Indication (RSSI), and information obtained from received data packets. The proposed LQE is capable of capturing the effects of multipath, interference, and link asymmetry. Experiments were performed in a real industrial environment using IEEE 802.15.4 radios, and models were developed to allow the use of RSSI samples to proper estimate the link quality. A comparison was performed with a state-of-the-art LQE, the Opt-FLQE, and the results showed that the proposed estimator is more accurate and reactive for the type of environment in study. Different from other LQEs in literature, in the proposed LQE the sensor nodes do not need to send broadcast probe packets. Besides, using the LQE node, the other nodes of the WSN do not need to stop their operation to monitor the link quality.

[1]  Luc Martens,et al.  The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz , 2008, IEEE Transactions on Wireless Communications.

[2]  Anis Koubaa,et al.  Reliable link quality estimation in low-power wireless networks and its impact on tree-routing , 2015, Ad Hoc Networks.

[3]  Shuanhu Wu,et al.  Study and Prediction of Wireless Link Quality for Adaptive Channel Hopping , 2012, J. Networks.

[4]  Mário Alves,et al.  Quantifying the channel quality for interference-aware wireless sensor networks , 2011, SIGBED.

[5]  Stig Petersen,et al.  Performance evaluation of WirelessHART for factory automation , 2009, 2009 IEEE Conference on Emerging Technologies & Factory Automation.

[6]  Nina F. Thornhill,et al.  Adaptive Multi-Channel Transmission Power Control for Industrial Wireless Instrumentation , 2014, IEEE Transactions on Industrial Informatics.

[7]  Mikael Gidlund,et al.  Characterization of long term channel variations in industrial wireless sensor networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[8]  Andrzej Duda,et al.  Link quality metrics in large scale indoor wireless sensor networks , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[9]  Pablo Soldati,et al.  Revisiting Multi-channel Communication to Mitigate Interference and Link Dynamics in Wireless Sensor Networks , 2012, 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems.

[10]  Mohamed Jmaiel,et al.  Low-Power link quality estimation in smart grid environments , 2015, 2015 International Wireless Communications and Mobile Computing Conference (IWCMC).

[11]  Mikael Gidlund,et al.  Channel Diagnostics for Wireless Sensor Networks in Harsh Industrial Environments , 2014, IEEE Sensors Journal.

[12]  Abel C. Lima-Filho,et al.  Embedded System Integrated Into a Wireless Sensor Network for Online Dynamic Torque and Efficiency Monitoring in Induction Motors , 2012, IEEE/ASME Transactions on Mechatronics.

[13]  Yuanqing Xia,et al.  TDMA-Based IEEE 802.15.4 for Low-Latency Deterministic Control Applications , 2016, IEEE Transactions on Industrial Informatics.

[14]  Fariborz Entezami,et al.  Find the Weakest Link: Statistical Analysis on Wireless Sensor Network Link-Quality Metrics , 2014, IEEE Vehicular Technology Magazine.

[15]  Philip Levis,et al.  Four-Bit Wireless Link Estimation , 2007, HotNets.

[16]  Mikael Gidlund,et al.  Scrutinizing Bit- and Symbol-Errors of IEEE 802.15.4 Communication in Industrial Environments , 2014, IEEE Transactions on Instrumentation and Measurement.

[17]  Manuel García Sánchez,et al.  RMS delay and coherence bandwidth measurements in indoor radio channels in the UHF band , 2001, IEEE Trans. Veh. Technol..

[18]  M. Malajner,et al.  Using RSSI value for distance estimation in wireless sensor networks based on ZigBee , 2008, 2008 15th International Conference on Systems, Signals and Image Processing.

[19]  Giuseppe Anastasi,et al.  Interplay of Link Quality Estimation and RPL Performance: An Experimental Study , 2016, PE-WASUN@MSWiM.

[20]  Chenyang Lu,et al.  ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks , 2011, 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium.

[21]  Kuang-Ching Wang,et al.  Channel Characterization and Link Quality Assessment of IEEE 802.15.4-Compliant Radio for Factory Environments , 2007, IEEE Transactions on Industrial Informatics.

[22]  Philip Levis,et al.  Collection tree protocol , 2009, SenSys '09.

[23]  Mikael Gidlund,et al.  Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments , 2014, IEEE Transactions on Communications.

[24]  Kate A. Remley,et al.  Measurements in harsh RF propagation environments to support performance evaluation of wireless sensor networks , 2009 .

[25]  Guoliang Xing,et al.  Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance , 2010, The 18th IEEE International Conference on Network Protocols.

[26]  Gerhard P. Hancke,et al.  Opportunities and Challenges of Wireless Sensor Networks in Smart Grid , 2010, IEEE Transactions on Industrial Electronics.

[27]  Andrzej Duda,et al.  Why is frequency channel diversity so beneficial in wireless sensor networks? , 2016, 2016 Wireless Days (WD).

[28]  E. Lewis,et al.  2.4 GHz IEEE 802.15.4 channel interference classification algorithm running live on a sensor node , 2012, 2012 IEEE Sensors.

[29]  MengChu Zhou,et al.  Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Wireless Sensor Network Reliability in Buildings , 2012, IEEE Transactions on Instrumentation and Measurement.

[30]  Ridha Soua,et al.  Multichannel assignment protocols in wireless sensor networks: A comprehensive survey , 2015, Pervasive Mob. Comput..

[31]  Manuel Mazo,et al.  System Architectures, Protocols and Algorithms for Aperiodic Wireless Control Systems , 2014, IEEE Transactions on Industrial Informatics.

[32]  Mikael Gidlund,et al.  Modeling of the Fading Statistics of Wireless Sensor Network Channels in Industrial Environments , 2016, IEEE Transactions on Signal Processing.

[33]  Vehbi C. Gungor,et al.  Wireless Link-Quality Estimation in Smart Grid Environments , 2012, Int. J. Distributed Sens. Networks.

[34]  Emiliano Sisinni,et al.  Design and implementation of a wireless sensor network for temperature sensing in hostile environments , 2016 .

[35]  Soo Young Shin,et al.  Performance Analysis of ISA100.11a Under Interference From an IEEE 802.11b Wireless Network , 2014, IEEE Transactions on Industrial Informatics.

[36]  Carl Karlsson,et al.  EMI disruptive effect on wireless industrial communication systems in a paper plant , 2009, 2009 IEEE International Symposium on Electromagnetic Compatibility.

[37]  Ankur Mehta,et al.  Mitigating Multipath Fading through Channel Hopping in Wireless Sensor Networks , 2010, 2010 IEEE International Conference on Communications.

[38]  Mohamed Jmaiel,et al.  Holistic link quality estimation-based routing metric for RPL networks in smart grids , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

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

[40]  Philip Levis,et al.  An empirical study of low-power wireless , 2010, TOSN.

[41]  Hong Li,et al.  Indoor Radio Propagation and Interference in 2.4 GHz Wireless Sensor Networks: Measurements and Analysis , 2014, Wirel. Pers. Commun..

[42]  Giuseppe Anastasi,et al.  IEEE 802.15.4e: A survey , 2016, Comput. Commun..

[43]  Muhammad Alam,et al.  Survey on low power real-time wireless MAC protocols , 2016, J. Netw. Comput. Appl..

[44]  Per Ängskog,et al.  Challenges and conditions for wireless machine-to-machine communications in industrial environments , 2013, IEEE Communications Magazine.

[45]  Anis Koubaa,et al.  Radio link quality estimation in wireless sensor networks , 2012, ACM Trans. Sens. Networks.

[46]  Tapio Heikkilä,et al.  Classification of Radio Channel disturbances for industrial wireless sensor networks , 2016, Ad Hoc Networks.

[47]  Jie He,et al.  Fuzzy Logic Based Multidimensional Link Quality Estimation for Multi-Hop Wireless Sensor Networks , 2013, IEEE Sensors Journal.