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Artículos de revistas sobre el tema "Coverage Based Routing"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 12 de febrero de 2022

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1

Wang, Zhen, and Lin Huang. "VCHR: Virtual Cluster-Based Hybrid Routing Protocol." Key Engineering Materials 467-469 (February 2011): 2117–22. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.2117.

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There are a couple of inherent shortcomings which are hard to be overcome in single topology network; thus we propose a novel routing protocol—VCHR, i.e., Virtual Cluster-based Hybrid Routing, which employs hybrid topology, bears the stamp of flat and hierarchical routing protocol. At stage of hierarchical routing, VCHR draws on the idea of the virtual cluster; base station controls clustering process based on network coverage control criteria in centralized model, and ensuring the reliability of virtual clusters by making use of the three-way handshake mechanism. Flat routing employs shortest

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2

Choi, Young-june, Jung Hyon Jun, and Saewoong Bahk. "Profit-Based Routing for Multihop Coverage Extension in Wireless Networks." Wireless Personal Communications 42, no. 4 (2006): 465–78. http://dx.doi.org/10.1007/s11277-006-9203-x.

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3

Sumalatha, G., and P. Anil. "Applications of Energy Aware Routing Protocols in WSN." Oriental journal of computer science and technology 9, no. 1 (2016): 24–29. http://dx.doi.org/10.13005/ojcst/9.01.05.

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In this paper we have reviewed application of energy aware routing protocols like LEACH, LEACH-C, PEGASIS, BCDCP, ENPC-NPSO, ANPC etc In WSN sensors are randomly deployed in the sensor field which brings the coverage problem. Hence energy and coverage problem are very scarce resources for such sensor systems and has to be managed wisely in order to extend the life of the sensors and maximizing coverage for the duration of a particular mission. In past a lot of cluster based algorithm and techniques were used. In this paper we also find out all type of PSO based algorithm, their application and

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4

Sumalatha, G., and P. Kumar. "Applications of Energy Aware Routing Protocols in WSN." Oriental journal of computer science and technology 9, no. 1 (2016): 24–29. http://dx.doi.org/10.13005/ojcst/901.05.

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In this paper we have reviewed application of energy aware routing protocols like LEACH, LEACH-C, PEGASIS, BCDCP, ENPC-NPSO, ANPC etc In WSN sensors are randomly deployed in the sensor field which brings the coverage problem. Hence energy and coverage problem are very scarce resources for such sensor systems and has to be managed wisely in order to extend the life of the sensors and maximizing coverage for the duration of a particular mission. In past a lot of cluster based algorithm and techniques were used. In this paper we also find out all type of PSO based algorithm, their application and

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5

Brahim, Mohammed Taieb, Houda Abbad, and Sofiane Boukil-Hacene. "A Low Energy MCL-Based Clustering Routing Protocol for Wireless Sensor Networks." International Journal of Wireless Networks and Broadband Technologies 10, no. 1 (2021): 70–95. http://dx.doi.org/10.4018/ijwnbt.2021010105.

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Wireless sensor networks (WSNs) have attracted increasing attention during the two last decades. Indeed, their applications target a wide range of fields such as healthcare, industrial control, environmental monitoring, etc. The main challenge of WSNs is the limitation of resources requiring efficient management of energy consumption. Coverage is also considered as one of the critical indicators of the quality of service (QoS) of WSNs. Therefore, the design of routing protocols should focus on energy efficiency and network coverage. In this paper, the authors propose a novel energy-efficient c

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6

Gupta, Hari Prabhat, and S. V. Rao. "Demand-Based Coverage and Connectivity-Preserving Routing in Wireless Sensor Networks." IEEE Systems Journal 10, no. 4 (2016): 1380–89. http://dx.doi.org/10.1109/jsyst.2014.2333656.

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7

Anicho, Ogbonnaya, Philip B. Charlesworth, Gurvinder S. Baicher, and Atulya Nagar. "Conflicts in Routing and UAV Autonomy." Australian Journal of Telecommunications and the Digital Economy 6, no. 4 (2018): 96–108. http://dx.doi.org/10.18080/ajtde.v6n4.169.

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Routing is very fundamental to the implementation of any networking or communications infrastructure. This paper, therefore, examines the conflicts and relevant considerations for implementing autonomous or self-organising unmanned aerial vehicles (UAVs) for communications area coverage, with particular emphasis on the impact of aerial vehicle autonomy algorithms on routing techniques for such networks. UAV networks can be deployed either as ad-hoc or infrastructure-based solutions. The mobility of UAVs introduces periodic topology changes, impacting link availability and routing paths. This w

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8

Anicho, Ogbonnaya, Philip B. Charlesworth, Gurvinder S. Baicher, and Atulya Nagar. "Conflicts in Routing and UAV Autonomy." Journal of Telecommunications and the Digital Economy 6, no. 4 (2018): 96–108. http://dx.doi.org/10.18080/jtde.v6n4.169.

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Routing is very fundamental to the implementation of any networking or communications infrastructure. This paper, therefore, examines the conflicts and relevant considerations for implementing autonomous or self-organising unmanned aerial vehicles (UAVs) for communications area coverage, with particular emphasis on the impact of aerial vehicle autonomy algorithms on routing techniques for such networks. UAV networks can be deployed either as ad-hoc or infrastructure-based solutions. The mobility of UAVs introduces periodic topology changes, impacting link availability and routing paths. This w

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9

Xu, Kaida, Zhidong Zhao, Yi Luo, Guohua Hui, and Liqin Hu. "An Energy-Efficient Clustering Routing Protocol Based on a High-QoS Node Deployment with an Inter-Cluster Routing Mechanism in WSNs." Sensors 19, no. 12 (2019): 2752. http://dx.doi.org/10.3390/s19122752.

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Currently, wireless sensor network (WSN) protocols are mainly used to achieve low power consumption of the network, but there are few studies on the quality of services (QoS) of these networks. Coverage can be used as a measure of the WSN’s QoS, which can further reflect the quality of data information. Additionally, the coverage requirements of regional monitoring target points are different in real applications. On this basis, this paper proposes an energy-efficient clustering routing protocol based on a high-QoS node deployment with an inter-cluster routing mechanism (EECRP-HQSND-ICRM) in W

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10

Xiang, Xiaoshu, Jianfeng Qiu, Jianhua Xiao, and Xingyi Zhang. "Demand coverage diversity based ant colony optimization for dynamic vehicle routing problems." Engineering Applications of Artificial Intelligence 91 (May 2020): 103582. http://dx.doi.org/10.1016/j.engappai.2020.103582.

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11

Yadao, Shivani Suresh, and R. K. Krishna. "Neighbor Coverage-Based Probabilistic Rebroadcast for Increasing Efficiency of Routing in MANETs." International Journal of Engineering Trends and Technology 36, no. 8 (2016): 385–88. http://dx.doi.org/10.14445/22315381/ijett-v36p271.

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12

Verma, Akshay, Sunil Kumar, Prateek Raj Gautam, Tarique Rashid, and Arvind Kumar. "Broadcast and Reliable Coverage based Efficient Recursive Routing in Large-Scale WSNs." Telecommunication Systems 75, no. 1 (2020): 63–78. http://dx.doi.org/10.1007/s11235-020-00679-5.

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13

Özdemir, Suat, Bara’a A. Attea, and Önder A. Khalil. "Multi-objective clustered-based routing with coverage control in wireless sensor networks." Soft Computing 17, no. 9 (2012): 1573–84. http://dx.doi.org/10.1007/s00500-012-0970-x.

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14

Wang, Yunlan, and Fang Li. "The study of chained routing algorithm for WNS based on group perception." International Journal of Modern Physics C 31, no. 04 (2020): 2050049. http://dx.doi.org/10.1142/s0129183120500497.

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In order to effectively solve the problem of routing efficiency in wireless sensor networks, a new chained routing algorithm based on group perception is proposed in this paper. First, the performance index parameters such as energy consumption and area coverage are given. Meanwhile, a chained routing strategy based on node utility value is established, which combines the “storage-carrying-forwarding” opportunistic transmission mode and decides whether a message needs to be forwarded to an encounter node according to a message forwarding strategy. Finally, the key factors affecting the chained

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15

Yu, Xiang, and Dan Dan Yi. "Analyses of Ad Hoc Routing Protocol Based on Emergency Communication." Applied Mechanics and Materials 644-650 (September 2014): 4378–81. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4378.

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Ad Hoc network as a wireless multi-hop network, it can expand the communication coverage. It is very suitable for emergency communication system when communication infrastructure has been destroyed and are too late to repair. In this paper, against the application scenarios and business needs in emergency communication system, and through analyses of the Ad Hoc routing protocols, performances of several routing protocols were quantitatively analyzed by NS-2. We finally discuss the results and present some conclusions.

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16

Xu, Yun, Wanguo Jiao, and Mengqiu Tian. "Energy-Efficient Connected-Coverage Scheme in Wireless Sensor Networks." Sensors 20, no. 21 (2020): 6127. http://dx.doi.org/10.3390/s20216127.

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In the wireless sensor network, the lifetime of the network can be prolonged by improving the efficiency of limited energy. Existing works achieve better energy utilization, either through node scheduling or routing optimization. In this paper, an efficient solution combining node scheduling with routing protocol optimization is proposed in order to improve the network lifetime. Firstly, to avoid the redundant coverage, a node scheduling scheme that is based on a genetic algorithm is proposed to find the minimum number of sensor nodes to monitor all target points. Subsequently, the algorithm p

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17

Javaid, Nadeem, Hammad Maqsood, Abdul Wadood, et al. "A Localization Based Cooperative Routing Protocol for Underwater Wireless Sensor Networks." Mobile Information Systems 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/7954175.

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Localization is one of the major aspects in underwater wireless sensor networks (UWSNs). Therefore, it is important to know the accurate position of the sensor node in large scale applications like disaster prevention, tactical surveillance, and monitoring. Due to the inefficiency of the global positioning system (GPS) in UWSN, it is very difficult to localize a node in underwater environment compared to terrestrial networks. To minimize the localization error and enhance the localization coverage of the network, two routing protocols are proposed; the first one is mobile autonomous underwater

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18

Tariq, Rehan, Zeshan Iqbal, and Farhan Aadil. "IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization." Wireless Communications and Mobile Computing 2020 (November 7, 2020): 1–29. http://dx.doi.org/10.1155/2020/8860646.

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Technology advancement in the field of vehicular ad hoc networks (VANETs) improves smart transportation along with its many other applications. Routing in VANETs is difficult as compared to mobile ad hoc networks (MANETs); topological constraints such as high mobility, node density, and frequent path failure make the VANET routing more challenging. To scale complex routing problems, where static and dynamic routings do not work well, AI-based clustering techniques are introduced. Evolutionary algorithm-based clustering techniques are used to solve such routing problems; moth flame optimization

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19

Sharma, Priyanka, PK Gaur, and Lal Pratap Verma. "A New Approach of Location Based Routing in MANETs." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 1 (2013): 692–97. http://dx.doi.org/10.24297/ijct.v8i1.3428.

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The highly dynamic nature of MANETs results in frequent and unpredictable changes in the network topology, which add to the difficulty and complexity to routing among the mobile nodes within the network. Thus, establishing communication among mobile nodes is a great challenge in itself, resulting in network overloading & discarding of data packets. Nodes can change position quite frequently, which means we need a routing protocol that quickly adapts to the topology changes which is our objective. Â In this paper focus has been put on the strategy to address the packet drop ratio which is a

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20

Jasim, Musaab Mohammed, Hayder Khaleel AL-Qaysi, and Yousif Allbadi. "Reliability-based routing metric for UAVs networks." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (2021): 1771. http://dx.doi.org/10.11591/ijeecs.v21.i3.pp1771-1783.

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<span>As a result of technological advances in robotic systems, electronic sensors, and communication techniques, the production of unmanned aerial vehicle (UAV) systems has become possible. Their easy installation and flexibility led these UAV systems to be used widely in both military and civilian applications. Note that the capability of one UAV is however limited. Nowadays, a multi-UAV system is of special interest due to the ability of its associate UAV members either to coordinate simultaneous coverage of large areas or to cooperate to achieve common goals/targets. This kind of coo

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21

Amalarethinam, Dr D. I. George, and Ms P. Mercy. "Enhanced Quality of Service Strategy for Improving Network Coverage in IOT Applications." Journal of University of Shanghai for Science and Technology 23, no. 05 (2021): 694–707. http://dx.doi.org/10.51201/jusst/21/05201.

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The Internet of Things (IoT) is a network that includes physical things capable of aggregating and communicating electronic information. With the advancement in wireless sensor networks, IoT provides highly efficient communication for various real-time applications. IoT networks are large-scale networks where routing can be improved by focusing on the Quality of Service (QoS) Parameter. Network coverage can be enhanced by hierarchical clustering of the nodes which increases the network lifetime. The proposed algorithm Enhanced Fuzzy Based Clustering and Routing Algorithm (EFCRA) performs dista

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22

Kumar, Neeraj, Manoj Kumar, and Patel R.B. "Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks." International Journal on Applications of Graph Theory In wireless Ad Hoc Networks And sensor Networks 2, no. 1 (2010): 45–60. http://dx.doi.org/10.5121/jgraphhoc.2010.2105.

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23

Sipahioglu, Aydin, Gokhan Kirlik, Osman Parlaktuna, and Ahmet Yazici. "Energy constrained multi-robot sensor-based coverage path planning using capacitated arc routing approach." Robotics and Autonomous Systems 58, no. 5 (2010): 529–38. http://dx.doi.org/10.1016/j.robot.2010.01.005.

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24

Rafigh, Majid, and Maghsoud Abbaspour. "K-Coverage Persevering Routing Technique Based on Event Occurrence Patterns for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 5 (2012): 164641. http://dx.doi.org/10.1155/2012/164641.

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25

Seyyedhasani, Hasan, Joseph S. Dvorak, and Eric Roemmele. "Routing algorithm selection for field coverage planning based on field shape and fleet size." Computers and Electronics in Agriculture 156 (January 2019): 523–29. http://dx.doi.org/10.1016/j.compag.2018.12.002.

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26

Arafat, Muhammad Yeasir, Md Arafat Habib, and Sangman Moh. "Routing Protocols for UAV-Aided Wireless Sensor Networks." Applied Sciences 10, no. 12 (2020): 4077. http://dx.doi.org/10.3390/app10124077.

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Recently, unmanned aerial vehicles (UAVs) attracted significant popularity in both military and civilian domains for various applications and services. Moreover, UAV-aided wireless sensor networks (UAWSNs) became one of the interesting hot research topics. This is mainly because UAWSNs can significantly increase the network coverage and energy utilization compared to traditional wireless sensor networks (WSNs). However, the high mobility, dynamic path, and variable altitude of UAVs can cause not only unforeseen changes in the network topology but also connectivity and coverage problems, which

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27

S, Smys, Abul Bashar, and Wang Haoxiang. "Taxonomy Classification and Comparison of Routing Protocol Based on Energy Efficient Rate." June 2021 2, no. 2 (2021): 96–110. http://dx.doi.org/10.36548/jismac.2021.2.003.

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This research article investigates effective energy protocols for wireless sensor networks (WSN). The newly proposed taxonomic classification and comparison provides the following protocol categories: latency and efficient routing based on energy and hop selection in network and its architecture, communication sensor network, networking structure, procedure functioning, sending and receiving round mode, and route setting. This research work has examined each class to discuss and compare the different parameters of its representative routing protocols (mechanisms, advantages, disadvantages) bas

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28

Zhang, Chao Yi, Mu Qing Wu, Lin Lin Luan, and Chun Xiu Xu. "Based on Time-Delay and Bandwidth Relay Selection Algorithm for Radio and Television Services." Advanced Materials Research 748 (August 2013): 1009–14. http://dx.doi.org/10.4028/www.scientific.net/amr.748.1009.

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Proposed a relay routing method for Radio and TV services, the method through obtaining the nodes time-delay and power information, obtained the value of the system interrupt decisions, and as a decision threshold to select the relay node. While in consideration of link priorities and fairness, designed a relay routing protocol that can dynamically change the route when the network changed. Simulation results show that this protocol can be expanded coverage, reduced communication blind spots, increase system throughput and enhance the quality of service.

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29

Chen, Guojun, Xiangdong Qin, Ningsheng Fang, and Wenbo Xu. "Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm." Complexity 2021 (May 15, 2021): 1–8. http://dx.doi.org/10.1155/2021/7826132.

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Path selection is one of the key technologies of wireless sensor network (WSN). A reasonable choice of coverage path can improve the service quality of WSN and extend the life cycle of WSN. Biogeography-based optimization (BBO) is widely used in the field of cluster intelligent optimization because its search method has a better incentive mechanism for population evolution. In this paper, the move-in and move-out operation and mutation operation of the BBO algorithm enable WSN to find an efficient routing path. In this paper, simulation experiments are carried out in two scenarios of regular d

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30

Kumar Pallai, Gyanendra, Meenakshi Sankaran, and Amiya Kumar Rath. "Self-Pruning based Probabilistic Approach to Minimize Redundancy Overhead for Performance Improvement in MANET." International journal of Computer Networks & Communications 13, no. 2 (2021): 15–36. http://dx.doi.org/10.5121/ijcnc.2021.13202.

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The Broadcast storm problem causes severe interference, intense collision and channel contention, which greatly degrades the QoS performance metrics of the routing protocols. So, we suggest a neighbourhood coverage knowledge probabilistic broadcasting model (NCKPB) integrating with AODV protocol with knowledge on 2-hop neighbourhood coverage; a connectivity function to control a node’s forwarding probability of retransmission to alleviate significant overhead redundancy. Our objective is to minimize the broadcast RREQ overhead while ensuring fair retransmission bandwidth. We considered two mor

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31

Sahani, Sanjay Kumar, and Raghav Yadav. "Comparative Cluster Based Mobile Routing Approach for Energy Efficiency in Optimization of Node location in WSNs." International Journal of Sensors, Wireless Communications and Control 9, no. 2 (2019): 179–87. http://dx.doi.org/10.2174/2210327908666181102122500.

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Background & Objective: The Energy efficiency in optimization of node sensor location is considered as a design on Comparatively Cluster Based Mobile Routing Approach (CCBMRA) likewise circle coverage and elliptical coverage. Location of boundary has deployment with CCBMRA distribution of anchor node and un-anchor node or static sensor node. Methods: This proposed method has applied for distributed by anchor node positioned to measurements of employing received signal strength. So it is important for intermediate processing phase to achieved accurate positioning of SSN (Static Sensor Node)

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32

Priyalakshmi, B., and K. Mahalakshmi. "Routing for Mobile UWSN: A Survey." International Journal of Engineering & Technology 7, no. 2.24 (2018): 87. http://dx.doi.org/10.14419/ijet.v7i2.24.12006.

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Recently Underwater Wireless Sensor Networks (UWSNs) is now emerging as a important research area to explore underwater environments and its resource. Underwater wireless senor nodes are utilized for extensive variety of uses, for example, checking the marine condition for scientific to commercial investigation and coastline surveillance to underwater contamination observing, from water-based calamity preventions to water-based games facilitation. Due to the unstable underwater environment there is a need to increase the scalability and reduce the energy consumption. Connectivity and Coverage

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33

Xu, Chun Xin, Fan Bo Meng, Miao Yu, Xiu Jun Zhang, and Yun Feng Guo. "Comparison and Analysis of Routing Protocols Based on OPNET for Fiber-Wireless Broadband Access Network." Applied Mechanics and Materials 635-637 (September 2014): 1522–25. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1522.

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As a promising communication technology for smart grid system, Fiber-Wireless (FiWi) broadband access network integrating wireless and optical access technologies, is becoming a promising “last mile” access technology. As the front-end of FiWi broadband access network, Wireless Mesh Network (WMN) has the features of high transmission rate, wide coverage and low cost of networking, etc, which can make FiWi broadband access network have the advantages of self-healing, self-configuring and flexibility. As one of the key technologies in WMN, wireless routing protocols play an important role in the

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34

Bindhu, M., Beulah Jackson, and S. Asha. "Secured Routing Using Neighbour Coverage with Minimum Overhead in Ad Hoc Networks." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1867–70. http://dx.doi.org/10.1166/jctn.2020.8456.

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A wireless ad hoc network is a dispersed type of wireless network. The network is called as ad hoc as it does not rely on any pre existing infrastructure. Routing decisions are ready by node itself, so the determination of which node to forward data is prepared dynamically based on network connectivity. The overhead of a route discovery cannot be neglected. In this, Neighbour coverage protocol proposes for reducing routing overhead and to utilize the neighbour coverage knowledge and the probabilistic mechanism, which can radically decrease the number of retransmissions to reduce the routing ov

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35

Gao, Teng, Jin-Yan Song, Jin-Hua Ding, and De-Quan Wang. "Fuzzy Weight Cluster-Based Routing Algorithm for Wireless Sensor Networks." Journal of Control Science and Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/583092.

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Cluster-based protocol is a kind of important routing in wireless sensor networks. However, due to the uneven distribution of cluster heads in classical clustering algorithm, some nodes may run out of energy too early, which is not suitable for large-scale wireless sensor networks. In this paper, a distributed clustering algorithm based on fuzzy weighted attributes is put forward to ensure both energy efficiency and extensibility. On the premise of a comprehensive consideration of all attributes, the corresponding weight of each parameter is assigned by using the direct method of fuzzy enginee

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Shanthi, V., and D. Somasundareswari. "An Efficient Coverage Greedy Packet Stateless Routing (EC-GPSR) in Authenties Based Wireless Sensor Networks." Circuits and Systems 07, no. 14 (2016): 4291–307. http://dx.doi.org/10.4236/cs.2016.714351.

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37

Xiao, Haitao, Xue Zhao, and Harutoshi Ogai. "A Clustering Routing and Coverage Algorithm for WSN Based on Brief Artificial Fish-School Optimization." Sensor Letters 11, no. 4 (2013): 697–703. http://dx.doi.org/10.1166/sl.2013.2505.

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38

Sastry, V. V. V. Pradeep, and Dr S. Arvind. "A Survey of Coverage-Based Broadcast for Reducing Routing Overhead in Mobile Ad Hoc Networks." International Journal of Computer Trends and Technology 11, no. 2 (2014): 52–57. http://dx.doi.org/10.14445/22312803/ijctt-v11p111.

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39

Xin Ming Zhang, En Bo Wang, Jing Jing Xia, and Dan Keun Sung. "A Neighbor Coverage-Based Probabilistic Rebroadcast for Reducing Routing Overhead in Mobile Ad Hoc Networks." IEEE Transactions on Mobile Computing 12, no. 3 (2013): 424–33. http://dx.doi.org/10.1109/tmc.2011.277.

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40

Adhyapak, DipaliParag, Sridharan Bhavani, and Aparna Pradeep Laturkar. "Ant Based Cross Layered Optimization Protocol for WMSN with Fuzzy Clustering." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 295. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp295-301.

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Wireless Multimedia Sensor Network (WMSN) is embedded with large number of Audio, Video and scalar sensor nodes which can able to retrieve the multimedia information from the environment. WMSN has several challenges such as life time of the network, Memory requirement, Coverage, Bandwidth and QoS metrics. Hence selection of routing algorithm is crucial in WMSN. Again interdependencies of the protocol layer cannot be neglected to improve the network performance. Clustering in WMSN is challenging task in order to increase network lifetime and to improve the communication. Hence Fuzzy clustered A

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41

Qureshi, Shahana Gajala, and Shishir Kumar Shandilya. "Novel hybridized crow whale optimization and QoS based bipartite coverage routing for secure data transmission in wireless sensor networks." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 2085–99. http://dx.doi.org/10.3233/jifs-210766.

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WSN (Wireless Sensor Network) is a network of devices which can transfer the data collected from an examined field via wireless links. Thus secure data transmission is required for accurate transfer of data from source to destination as data passes through various intermediate nodes. The study intends to perform shortest, secure path routing on the basis of trust through novel Hybridized Crow Whale Optimization (H-CWO) and QoS based bipartite Coverage Routing (QOS-CR) as well as to analyze the system’s performance. Nodes are randomly deployed in the network area. Initially, a trust metric form

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42

Swamy, Tata Jagannadha, Jayant Vaibhav Srivastava, and Garimella Ramamurthy. "Non Uniform Grid Based Cost Minimization and Routing in Wireless Sensor Networks." International Journal of Wireless Networks and Broadband Technologies 2, no. 1 (2012): 16–28. http://dx.doi.org/10.4018/ijwnbt.2012010102.

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Recent technological advances have facilitated the widespread use of wireless sensor networks in many applications. In real life situations we have to cover or monitor a lot of points/places on plane. Sensor’s range is proportional to their cost, as high cost sensors have higher ranges. In this paper the authors developed a new algorithm for sensor placement for target location with cost minimization and coverage to non-uniform plane. Sensor placement for target location implies that they are given different type of sensors with different cost and range for given points on plane, which are to

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43

Dahiya, Seema, and P. K. Singh. "Optimized mobile sink based grid coverage-aware sensor deployment and link quality based routing in wireless sensor networks." AEU - International Journal of Electronics and Communications 89 (May 2018): 191–96. http://dx.doi.org/10.1016/j.aeue.2018.03.031.

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44

Chen, Zuo, Yao Xiao, Xiaodong Li, and Renfa Li. "A Clustering Protocol for Wireless Sensor Networks Based on Energy Potential Field." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/829861.

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It is the core issue of researching that how to prolong the lifetime of wireless sensor network. The purpose of this paper is to illustrate a clustering protocol LEACH-PF, which is a multihop routing algorithm with energy potential field of divided clusters. In LEACH-PF, the network is divided into a number of subnetworks and each subnetwork has a cluster head. These clusters construct an intercluster routing tree according to the potential difference of different equipotential fields. The other member nodes of the subnetworks communicate with their cluster head directly, so as to complete reg

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45

Wu, Xiao Lei. "Research on Network Security Algorithm Based on ZigBee Technology." Applied Mechanics and Materials 608-609 (October 2014): 503–6. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.503.

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Paper study the MAC layer security mechanism and data frame structure in ZigBee protocol, improve the algorithm for random Fuzzing test technology, and test method of attack fusion boundary, structure of Fuzzing and the node clone, proposed a ZigBee routing protocol for the MAC layer security comprehensive detection algorithm. Fuzzing test show that the testing algorithm can not only greatly improve the test efficiency in Fuzzing, more than the structure of Fuzzing is increased by 50% in path coverage.

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46

Adhyapak, Dipali Parag, Sridharan Bhavani, and Aparna Pradeep Laturkar. "Ant Based Cross Layered Optimization Protocol for Wireless Multimedia Sensor Network with Fuzzy Clustering." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 3 (2018): 1303. http://dx.doi.org/10.11591/ijeecs.v10.i3.pp1303-1309.

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Wireless Multimedia Sensor Network (WMSN) is embedded with large number of Audio, Video and scalar sensor nodes which can able to retrieve the multimedia information from the environment. WMSN has several challenges such as life time of the network, Memory requirement, Coverage, Bandwidth and QoS metrics. Hence selection of routing algorithm is crucial in WMSN. Again interdependencies of the protocol layer cannot be neglected to improve the network performance. Clustering in WMSN is challenging task in order to increase network lifetime and to improve the communication. Hence Fuzzy clustered A

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47

Zagrouba, Rachid, and Amine Kardi. "Comparative Study of Energy Efficient Routing Techniques in Wireless Sensor Networks." Information 12, no. 1 (2021): 42. http://dx.doi.org/10.3390/info12010042.

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This paper surveys the energy-efficient routing protocols in wireless sensor networks (WSNs). It provides a classification and comparison following a new proposed taxonomy distinguishing nine categories of protocols, namely: Latency-aware and energy-efficient routing, next-hop selection, network architecture, initiator of communication, network topology, protocol operation, delivery mode, path establishment and application type. We analyze each class, discuss its representative routing protocols (mechanisms, advantages, disadvantages…) and compare them based on different parameters under the a

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48

Salah, Imad, Mohmmad A. Alshriedeh, and Saleh Al-Sharaeh. "An Efficient Priority Based Routing Technique That Maximizes the Lifetime and Coverage of Wireless Sensor Networks." International Journal of Communications, Network and System Sciences 06, no. 02 (2013): 100–108. http://dx.doi.org/10.4236/ijcns.2013.62012.

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49

Roh, Bong-Soo, Myoung-Hun Han, Jae-Hyun Ham, and Ki-Il Kim. "Q-LBR: Q-Learning Based Load Balancing Routing for UAV-Assisted VANET." Sensors 20, no. 19 (2020): 5685. http://dx.doi.org/10.3390/s20195685.

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Although various unmanned aerial vehicle (UAV)-assisted routing protocols have been proposed for vehicular ad hoc networks, few studies have investigated load balancing algorithms to accommodate future traffic growth and deal with complex dynamic network environments simultaneously. In particular, owing to the extended coverage and clear line-of-sight relay link on a UAV relay node (URN), the possibility of a bottleneck link is high. To prevent problems caused by traffic congestion, we propose Q-learning based load balancing routing (Q-LBR) through a combination of three key techniques, namely

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50

Hu, Hai Yan, and You Qiao Zhang. "The Study and Realization of Energy-Aware Routing Algorithm of Wireless Sensor Networks." Applied Mechanics and Materials 201-202 (October 2012): 767–72. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.767.

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Based on the analysis of routing algorithm of typical wireless sensor networks, the author puts forward with the objectives of routing algorithm and designs energy-aware routing algorithm to reduce energy consumption and extend life cycle of the whole network. The algorithm constitutes four modules: clustering module, dynamic cluster head election module, dormant state module and inter-cluster routing module. Aiming at effectively using the energy of sensor nodes, the paper makes use of honeycomb-like two-level clustering structure to increase coverage rate of nodes. Also, studies of routing a

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