# A Hybrid Routing Protocol Based on Naive Bayes and Improved Particle Swarm Optimization Algorithms
## 3 Network Model and Assumptions
### Cluster Head Selection Based on a Naive Bayes Classifier
[CrossRef]
* (13) [PERSON]; [PERSON]; [PERSON] Cluster head cycle-switching schemes for farmland wireless sensor networks. _Trans. Chin. Soc. Agric. Eng._**2009**, _25_, 170-174. [CrossRef]
* (14) [PERSON]; [PERSON]. Data collection using score based load balancing algorithm in wireless sensor networks. In Proceedings of the 2016 2 nd International Conference on Science in Information Technology (ICSITech), Balikpapan, Indonesia, 26-27 October 2016; pp. 41-46. [CrossRef]
* (15) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Routing Protocol of Wireless Sensor Networks Based on K-Center. _Comput. Sci. Appl._**2019**, \(9\), 495-500. [CrossRef]
* (16) [PERSON]; [PERSON]; [PERSON]; [PERSON] EECS: An energy efficient clustering scheme in wireless sensor networks. In Proceedings of the 24 th IEEE International Performance, Computing, and Communications Conference, Phoenix, AZ, USA, 7-9 April 2005; pp. 535-540. [CrossRef]
* (17) [PERSON]; [PERSON]; [PERSON] An Energy Efficient Cluster-Head Rotation and Relay Node Selection Scheme for Farmland Heterogeneous Wireless Sensor Networks. _Wirel. Pers. Commun._**2018**, _101_, 1639-1655. [CrossRef]
* (18) [PERSON]; [PERSON]; [PERSON]; [PERSON] Topology Based Energy Efficient Routing Algorithm in Farmland Wireless Sensor Network. _Trans. Chin. Soc. Agric. Mach._**2015**, _46_, 232-238. [3] [PERSON]; [PERSON] Design guidelines for wireless sensor networks: Communication, clustering and aggregation. _Ad Hoc Netw._**2004**, \(2\), 45-63. [CrossRef]
* (19) [PERSON]; [PERSON]; [PERSON] Self-organized routing for wireless microsensor networks. _IEEE Trans. Syst. Man Cybern.-Part A Syst. Hum._**2005**, _35_, 349-359. [CrossRef]
* (20) [PERSON]; [PERSON]; [PERSON] Low Energy Routing Protocol Combined with Near Source Data Aggregation and Congestion Control in WSN. _J. Chongqing Univ. Technol. (Nat. Sci. )_**2019**, _33_, 111-120. * (21) [PERSON]; [PERSON]; [PERSON] Energy efficient fuzzy clustering and routing using BAT algorithm. _Wirel. Netw._**2021**, _27_, 2813-2828. [CrossRef]
* (22) [PERSON]; [PERSON]; [PERSON] Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption. _Int. J. Agric. Biol. Eng._**2021**, _14_, 142-150. [CrossRef]
* (23) [PERSON]; [PERSON]; [PERSON] A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture. _Pracis. Agric._**2015**, _16_, 216-238. [CrossRef]
* (24) [PERSON]; [PERSON] DUFC: Distributed load balancing unequal clustering in wireless sensor networks using fuzzy approach. _Appl. Soft Comput._**2016**, _40_, 495-506. [CrossRef]
* (25) [PERSON]; [PERSON]; [PERSON]. An Energy-Efficient and Cluster-parent based RPL with Power-level Refinement for Low-Power and Lossy Networks. _Comput. Commun._**2017**, _104_, 17-33. [CrossRef]* [PERSON] et al. (2018) [PERSON] [PERSON]; [PERSON]; [PERSON] Energy-efficient grid-based routing algorithm using intelligent fuzzy rules for wireless sensor networks. _Comput. Electr. Eng._**2018**, _68_, 62-75. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Routing Protocols for Low Power and Lossy Networks in Internet of Things Applications. _Sensors_**2019**, _19_, 2144. [CrossRef] [PubMed]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] [PERSON] Mobility-Aware Energy-Efficient Parent Selection Algorithm for Low Power and Lossy Networks. _IEEE Internet Things J._**2019**, \(6\), 2593-2601. [CrossRef]
* [PERSON] and [PERSON] (2009) [PERSON]; [PERSON] Collaborative opportunistic routing in wireless sensor networks. _J. Commun._**2009**, _30_, 116-120. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Enhancing data delivery with density controlled clustering in wireless sensor networks. _Microsyst. Technol._**2017**, _23_, 613-631. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] Efficient Bayesian sensor placement algorithm for structural identification: A general approach for multi-type sensory systems. _Earth. Eng. Struct. Dyn._**2015**, _44_, 757-774.