Development of Fuzzy based Energy Efficient Cluster Routing Protocol to Increase the Lifetime of Wireless Sensor Networks

Balaji, S.; Julie, E. Golden; Robinson, Y. Harold

doi:10.1007/s11036-017-0913-y

Cited by 54 publications

(31 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of clustering techniques in the routing protocol is one promising solution that has a direct impact on energy efficiency in WSNs. In [49], Balaji et al proposed a hop-by-hop protocol named the development of a fuzzy-based energy-efficient cluster routing protocol to increase the WSN lifetime. The algorithm has several phases.…”

Section: Fuzzy Logic-based Routing Algorithmsmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

Wireless sensor networks have recently been widely used in several applications and scenarios, especially because they have the ability and flexibility for establishing a scalable and reliable wireless network. Cooperative multi-robotic systems (CMRS) are one example of these applications where establishing a wireless network between robots is essential and paramount to their operation. Further, these robots can utilize their mobility to provide sensing functionality for areas that are not covered by the static sensor. This can be achieved by equipping the robots with specific sensors to sense the area of interest (AoI) and report the sensed data to a remote monitoring center for further processing and decision-making. However, the nodes that form the sensor network have limited energy, and, as such, efficient algorithms in clusters’ formation, packets’ routing, and energy and mobility management are paramount. In this paper, a literature survey is presented containing the most related works that have been proposed to solve these challenges utilizing fuzzy logic. Most of the literature work attempted to utilize a de-centralized approach, where certain input parameters such as the residual energy, communication link quality, network congestion status, the nodes’ distance to the sink node and its location with respect to the other nodes, and the data and their sampling rate are all used as inputs to the fuzzy logic controller. These input parameters are used to determine several performance vital factors such as the cluster formation and its cluster head, best route to the sink node, optimal power management policies in terms of sleep/awake times needed to maximize the network lifetime, nodes’ mobility management policies to maintain network connectivity, and best route in terms of packet loss and delay.

show abstract

Section: Fuzzy Logic-based Routing Algorithmsmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The DODAG Copyright © 2018 MECS I.J. Intelligent Systems and Applications, 2018, 10, [11][12][13][14][15][16][17][18][19] node has storing and non storing mode. By default, the root node has storing mode and it maintains the routing table about the entire network.…”

Section: A Overview Of Rplmentioning

confidence: 99%

“…Fig.1-4 shows that the membership functions of load, RER and ETX. We have chosen the trapezoidal shape membership function for input variable and triangle shape membership function for output variable in the fuzzy logic system [19][20][21]. The membership function and threshold values can be finetuned based on the application requirements.…”

Section:  Membership Functionmentioning

confidence: 99%

Fuzzy Logic Based Energy Aware Routing Protocol for Internet of Things

Sankar¹,

Srinivasan²

2018

IJISA

View full text Add to dashboard Cite

Maximizing the network lifetime is one of the major challenges in Low Power and Lossy Networks (LLN). Routing plays a major role in LLN, for minimizing the energy consumption across the network nodes. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a standardized routing protocol for LLN. Though, RPL fulfilled the necessity of LLN, several issues like increasing the energy efficiency, quality of service and the network lifetime are to be focused. In LNN, the inefficient route selection results in increased network traffic, energy depletion and packet loss ratio across the network. In this paper, we propose a fuzzy logic based energy aware routing protocol (FLEA-RPL), which considers the routing metrics load, residual energy (RER) and expected transmission count (ETX) for the best route selection. FLEA-RPL applies fuzzy logic over these metrics, to select the best route to transfer the network data efficiently. The COOJA simulator is used to assess the efficiency of the proposed FLEA-RPL. The FLEA-RPL protocol is compared with similar protocol standard RPL, MRHOF (ETX) based RPL (MRHOF-RPL) and FL-RPL. The simulation result shows that FLEA-RPL improves the network lifetime by 10-12% and packet delivery ratio by 2-5%.

show abstract

“…An association between nodes is established, depending upon the depth to avoid backward transmission of data packets. The projected research work is an extended form of the previous terrestrial based (ACH)

routing protocol [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities

Usman

Alfandi

Usman

et al. 2020

Sensors

View full text Add to dashboard Cite

Nowadays, there is a growing trend in smart cities. Therefore, Terrestrial and Internet of Things (IoT) enabled Underwater Wireless Sensor Networks (TWSNs and IoT-UWSNs) are mostly used for observing and communicating via smart technologies. For the sake of collecting the desired information from the underwater environment, multiple acoustic sensors are deployed with limited resources, such as memory, battery, processing power, transmission range, etc. The replacement of resources for a particular node is not feasible due to the harsh underwater environment. Thus, the resources held by the node needs to be used efficiently to improve the lifetime of a network. In this paper, to support smart city vision, a terrestrial based “Away Cluster Head with Adaptive Clustering Habit” (ACH) 2 is examined in the specified three dimensional (3-D) region inside the water. Three different cases are considered, which are: single sink at the water surface, multiple sinks at water surface,, and sinks at both water surface and inside water. “Underwater (ACH) 2 ” (U-(ACH) 2 ) is evaluated in each case. We have used depth in our proposed U-(ACH) 2 to examine the performance of (ACH) 2 in the ocean environment. Moreover, a comparative analysis is performed with state of the art routing protocols, including: Depth-based Routing (DBR) and Energy Efficient Depth-based Routing (EEDBR) protocol. Among all of the scenarios followed by case 1 and case 3, the number of packets sent and received at sink node are maximum using DEEC-(ACH) 2 protocol. The packets drop ratio using TEEN-(ACH) 2 protocol is less when compared to other algorithms in all scenarios. Whereas, for dead nodes DEEC-(ACH) 2 , LEACH-(ACH) 2 , and SEP-(ACH) 2 protocols’ performance is different for every considered scenario. The simulation results shows that the proposed protocols outperform the existing ones.

show abstract

Development of Fuzzy based Energy Efficient Cluster Routing Protocol to Increase the Lifetime of Wireless Sensor Networks

Cited by 54 publications

References 29 publications

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

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

Fuzzy Logic Based Energy Aware Routing Protocol for Internet of Things

An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities

Contact Info

Product

Resources

About