Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

The development of flexible and efficient communication mechanisms is of paramount importance within the context of the Internet of Things (IoT) paradigm. IoT has been used for industrial, commercial, and residential applications, and the IEEE 802.15.4/ZigBee standard is one of the most suitable protocols for this purpose. This protocol is now frequently used to implement large-scale Wireless Sensor Networks (WSNs). In industrial settings, it is becoming increasingly common to deploy cluster-tree WSNs, a complex IEEE 802.15.4/ZigBee-based peer-to-peer network topology, to monitor and control critical processes such as those related to oil or gas, mining, or certain specific chemicals. The remote monitoring of critical events for hazards or disaster detection in large areas is a challenging issue, since the occurrence of events in the monitored environment may severely stress the regular operation of the network. This paper proposes the Dynamic REconfiguration mechanism of cluster-Tree WSNs (DyRET), which is able to dynamically reconfigure large-scale IEEE 802.15.4 cluster-tree WSNs, and to assign communication resources to the overloaded branches of the tree based on the accumulated network load generated by each of the sensor nodes. A complete simulation assessment demonstrates the proposed mechanism’s efficiency, and the results show that it can guarantee the required quality of service level for the dynamic reconfiguration of cluster-tree networks.

[1]  Pham Thanh Hiep Spatial Reuse Superframe for High Throughput Cluster-Based WBAN with CSMA/CA , 2016, Ad Hoc Sens. Wirel. Networks.

[2]  Timo Hämäläinen,et al.  Performance analysis of IEEE 802.15.4 and ZigBee for large-scale wireless sensor network applications , 2006, PE-WASUN '06.

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

[4]  Nathalie Mitton,et al.  Applications of Industrial Wireless Sensor Networks , 2013 .

[5]  Ricardo Moraes,et al.  Data-Based Cluster-Tree Formation Scheme for Large-Scale Wireless Sensor Networks , 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).

[6]  Yuguang Fang,et al.  A Fairness-Aware Congestion Control Scheme in Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[7]  Ricardo Moraes,et al.  Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks , 2017, Sensors.

[8]  Sebti Foufou,et al.  Industrial Wireless Systems Guidelines: Practical Considerations and Deployment Life Cycle , 2018, IEEE Industrial Electronics Magazine.

[9]  Wataru Takeuchi,et al.  Advances in Remote Sensing-Based Disaster Monitoring and Assessment , 2019, Remote. Sens..

[10]  Ricardo Moraes,et al.  CT-SIM: A simulation model for wide-scale cluster-tree networks based on the IEEE 802.15.4 and ZigBee standards , 2017, Int. J. Distributed Sens. Networks.

[11]  Eduardo Tovar,et al.  TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks , 2008, Real-Time Systems.

[12]  Hirley Alves,et al.  Analysis and Performance Optimization of LoRa Networks With Time and Antenna Diversity , 2018, IEEE Access.

[13]  Zdenek Hanzálek,et al.  Energy Efficient Scheduling for Cluster-Tree Wireless Sensor Networks With Time-Bounded Data Flows: Application to IEEE 802.15.4/ZigBee , 2010, IEEE Transactions on Industrial Informatics.

[14]  Hossein Fotouhi,et al.  An Energy-Efficient Evolutionary Clustering Technique for Disaster Management in IoT Networks , 2020, Sensors.

[15]  Jarrod Trevathan,et al.  Allocating Sensor Network Resources Using an Auction-Based Protocol , 2016, J. Theor. Appl. Electron. Commer. Res..

[16]  Amrita Vishwa Vidyapeetham Wireless Sensor Network for Disaster Monitoring , 2010 .

[17]  Marwane Ayaida,et al.  Scheduling approaches for wireless sensor networks , 2015, 2015 15th International Conference on Innovations for Community Services (I4CS).

[18]  Ling Zhang,et al.  Reconfiguration during data collection for many-to-one routing in wireless sensor networks , 2017, 2017 Chinese Automation Congress (CAC).

[19]  Nuno Pereira,et al.  Dynamic cluster scheduling for cluster-tree WSNs , 2013, 16th IEEE International Symposium on Object/component/service-oriented Real-time distributed Computing (ISORC 2013).

[20]  Anis Koubaa,et al.  A Time Division Beacon Scheduling Mechanism for IEEE 802.15.4/Zigbee Cluster-Tree Wireless Sensor Networks , 2007, 19th Euromicro Conference on Real-Time Systems (ECRTS'07).

[21]  Gustavo Medeiros de Araújo,et al.  Enhanced association mechanism for IEEE 802.15.4 networks , 2017, 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

[22]  Jiandong Li,et al.  A Survey on Routing Protocols for Large-Scale Wireless Sensor Networks , 2011, Sensors.

[23]  Zhi Yuan,et al.  A Load Balancing Algorithm in Convergent Wireless Sensor and Cellular Networks , 2012, 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing.

[24]  Sungwook Kim,et al.  Dynamic Self-Reconfiguration Algorithms for Wireless Sensor Networks , 2010, 2010 10th IEEE/IPSJ International Symposium on Applications and the Internet.

[25]  Erico Leão,et al.  An Efficient Mechanism to Improve Convergecast Traffic in Cluster-tree Wireless Sensor Networks Based on IEEE 802.15.4 , 2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society.

[26]  Juan Antonio Gómez Galán,et al.  An Efficient Wireless Sensor Network for Industrial Monitoring and Control , 2018, Sensors.

[27]  Lavy Libman,et al.  Experiences and Lessons from Implementing a Wireless Sensor Network MAC Protocol in the Castalia Simulator , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[28]  Juan-Carlos Zúñiga,et al.  SIGFOX System Description , 2017 .

[29]  Alex Vakaloudis,et al.  A framework for rapid integration of IoT Systems with industrial environments , 2019, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).

[30]  Zdeněk Hanzálek,et al.  An Energy Efficient Schedule for IEEE 802.15.4/ZigBee Cluster Tree WSN with Multiple Collision Domains and Period Crossing Constraint , 2018, IEEE Transactions on Industrial Informatics.

[31]  Jing Zhang,et al.  Event Driven Self-Adaptive Routing Algorithm in Wireless Sensor Network , 2013, 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies.

[32]  Jaime Lloret,et al.  A Non-Threshold-Based Cluster-Head Rotation Scheme for IEEE 802.15.4 Cluster-Tree Networks , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[33]  Gerhard P. Hancke,et al.  Sleep Scheduling in Industrial Wireless Sensor Networks for Toxic Gas Monitoring , 2017, IEEE Wireless Communications.

[34]  Bo Li,et al.  Upstream congestion control in wireless sensor networks through cross-layer optimization , 2007, IEEE Journal on Selected Areas in Communications.