On the Potential of Fuzzy Logic for Solving the Challenges of Cooperative Multi-Robotic Wireless Sensor Networks

Khalifeh, Ala’; Rajendiran, Kishore; Darabkh, Khalid A.; Khasawneh, Ahmad M.; Almomani, Omar; Zinonos, Zinon

doi:10.3390/electronics8121513

Cited by 25 publications

(7 citation statements)

References 64 publications

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“…This paper continues our previous work [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ] that aims at designing and implementing an energy efficient WSN capable of performing sensing and monitoring functionalities within an AoI. The main contribution of this paper is to propose an algorithm that aims at finding the best CH location, with respect to the other nodes within the same cluster, such that the communication path-loss of all SNs is reduced, and thus the sensor nodes’ lifetime is increased.…”

Section: Introductionsupporting

confidence: 87%

Optimal Cluster Head Positioning Algorithm for Wireless Sensor Networks

Khalifeh

Abid

Darabkh

2020

Sensors

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Wireless sensor networks (WSNs) are increasingly gaining popularity, especially with the advent of many artificial intelligence (AI) driven applications and expert systems. Such applications require specific relevant sensors’ data to be stored, processed, analyzed, and input to the expert systems. Obviously, sensor nodes (SNs) have limited energy and computation capabilities and are normally deployed remotely over an area of interest (AoI). Therefore, proposing efficient protocols for sensing and sending data is paramount to WSNs operation. Nodes’ clustering is a widely used technique in WSNs, where the sensor nodes are grouped into clusters. Each cluster has a cluster head (CH) that is used to gather captured data of sensor nodes and forward it to a remote sink node for further processing and decision-making. In this paper, an optimization algorithm for adjusting the CH location with respect to the nodes within the cluster is proposed. This algorithm aims at finding the optimal CH location that minimizes the total sum of the nodes’ path-loss incurred within the intra-cluster communication links between the sensor nodes and the CH. Once the optimal CH is identified, the CH moves to the optimal location. This suggestion of CH re-positioning is frequently repeated for new geometric position. Excitingly, the algorithm is extended to consider the inter-cluster communication between CH nodes belonging to different clusters and distributed over a spiral trajectory. These CH nodes form a multi-hop communication link that convey the captured data of the clusters’ nodes to the sink destination node. The performance of the proposed CH positioning algorithm for the single and multi-clusters has been evaluated and compared with other related studies. The results showed the effectiveness of the proposed CH positioning algorithm.

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Section: Introductionsupporting

confidence: 87%

Optimal Cluster Head Positioning Algorithm for Wireless Sensor Networks

Khalifeh

Abid

Darabkh

2020

Sensors

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“…Stability can be considered as one of the advantages of this algorithm. The EAFCA algorithm [27] is presented to improve clustering in wireless sensor networks. In this algorithm, data transmission inside each cluster is done in a multi-hop way, and the competition radius for each cluster is considered to be equal to two hops.…”

Section: Cluster Protocol In Vanetmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

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“…e authors in [45] have used the cooperative multirobot systems (CMRS) by establishing a wireless connection with the robot for its operation. Further, the mobility of robots can be provided using its sensing functionality.…”

Section: Previous Studiesmentioning

confidence: 99%

A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications

Jain

Saini

Gupta

et al. 2021

Mathematical Problems in Engineering

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New technologies are advancing and emerging day by day to improve the safety of humans by making use of various autonomous technologies. The continuous utilization of autonomous vehicles/systems in search and rescue (SAR) operations is a challenging research area particularly for marine-based activities. A comprehensive systematic literature review (SLR) providing an overview of improvisations that have been done in the field of autonomous technologies for search and rescue operation over the last five years has been compiled in this paper. A methodology for using autonomous vehicles in water for SAR operations has been incorporated and demonstrated. The focus of this study is to look at the various techniques and address different challenges faced for human beings’ safety during rescue operation. The comparison of results achieved for various technologies and algorithms is highlighted in this paper. This literature survey proves to be a good source of information for fellow researchers to precisely analyze the study results.

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On the Potential of Fuzzy Logic for Solving the Challenges of Cooperative Multi-Robotic Wireless Sensor Networks

Cited by 25 publications

References 64 publications

Optimal Cluster Head Positioning Algorithm for Wireless Sensor Networks

Optimal Cluster Head Positioning Algorithm for Wireless Sensor Networks

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications

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