HYREP: A Hybrid Low-Power Protocol for Wireless Sensor Network

In this paper, a new hybrid routing protocol is presented for low power Wireless Sensor Networks (WSNs). The new system uses an integrated piezoelectric energy harvester to increase the network lifetime. Power dissipation is one of the most important factors affecting lifetime of a WSN. An innovative cluster head selection technique using Cuckoo optimization algorithm has been used in the designed protocol. The residual energy of the nodes and the distances to the sink were used in the threshold calculations, besides to take advantage of the relay node for communication. A hybrid method using the optimized routing protocol and the integrated energy harvester results in 100% increase in the network lifetime compared to recent clustering-based protocols. The simulations results using MATLAB indicate that energy consumption was been decreased by more than 40%.

[1]  Alireza Hassanzadeh,et al.  A multi-threshold long life time protocol with consistent performance for wireless sensor networks , 2019, AEU - International Journal of Electronics and Communications.

[2]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[3]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..

[4]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[5]  Wendi B. Heinzelman,et al.  Application-specific protocol architectures for wireless networks , 2000 .

[6]  Di Wu,et al.  Opportunistic Routing Algorithm for Relay Node Selection in Wireless Sensor Networks , 2015, IEEE Transactions on Industrial Informatics.

[7]  Vehbi C. Gungor,et al.  Analyzing lifetime of energy harvesting wireless multimedia sensor nodes in industrial environments , 2018, Comput. Stand. Interfaces.

[8]  Youlong Luo,et al.  Clustering routing based on mixed integer programming for heterogeneous wireless sensor networks , 2018, Ad Hoc Networks.

[9]  Chen Wang,et al.  An Efficient Centroid-Based Routing Protocol for Energy Management in WSN-Assisted IoT , 2017, IEEE Access.

[10]  Huicong Liu,et al.  A Study on Piezoelectric Energy-Harvesting Wireless Sensor Networks Deployed in a Weak Vibration Environment , 2017, IEEE Sensors Journal.

[11]  Annie S. Wu,et al.  Sensor Network Optimization Using a Genetic Algorithm , 2003 .

[12]  Ramin Rajabioun,et al.  Cuckoo Optimization Algorithm , 2011, Appl. Soft Comput..

[13]  James Biagioni,et al.  EasyTracker: automatic transit tracking, mapping, and arrival time prediction using smartphones , 2011, SenSys.

[14]  Asan Gani Abdul Muthalif,et al.  Optimal piezoelectric beam shape for single and broadband vibration energy harvesting: Modeling, simulation and experimental results , 2015 .

[15]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[16]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[17]  Dongsheng Ma,et al.  A 12-μW to 1.1-mW AIM Piezoelectric Energy Harvester for Time-Varying Vibrations With 450-nA $I_{\bm Q}$ , 2015, IEEE Transactions on Power Electronics.

[18]  Azer Bestavros,et al.  SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks , 2004 .

[19]  Mohammad Shokouhifar,et al.  An Energy Efficient Routing Protocol in Wireless Sensor Networks using Genetic Algorithm , 2014 .

[20]  Bara'a Ali Attea,et al.  A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks , 2012, Appl. Soft Comput..

[21]  Fathi Amsaad,et al.  P-LEACH: Energy efficient routing protocol for Wireless Sensor Networks , 2016, 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT).

[22]  S. K. Basu,et al.  Leach Routing Algorithm Optimization through Imperialist Approach , 2014 .

[23]  S. M. Hosseinirad A Hierarchy Topology Design Using a Hybrid Evolutionary Algorithm in Wireless Sensor Networks , 2018 .

[24]  Rajashekhar C. Biradar,et al.  A survey on routing protocols in Wireless Sensor Networks , 2012, 2012 18th IEEE International Conference on Networks (ICON).

[25]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[26]  Seyed Mahdi Jameii A Secure Routing Algorithm for Underwater Wireless Sensor Networks , 2017 .

[27]  Fathi Amsaad,et al.  H-LEACH: Hybrid-low energy adaptive clustering hierarchy for wireless sensor networks , 2016, 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT).

[28]  Wei Hong,et al.  A macroscope in the redwoods , 2005, SenSys '05.

[29]  Vincent W. S. Wong,et al.  An Energy-Efficient Multipath Routing Protocol for Wireless Sensor Networks , 2006, IEEE Vehicular Technology Conference.

[30]  Andries Petrus Engelbrecht,et al.  Fundamentals of Computational Swarm Intelligence , 2005 .