Two-step fuzzy logic system to achieve energy efficiency and prolonging the lifetime of WSNs

Tamandani, Yahya Kord; Bokhari, Mohammad Ubaidullah; Shallal, Qahtan Makki

doi:10.1007/s11276-016-1266-3

Cited by 10 publications

(7 citation statements)

References 44 publications

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“…It is the channel used for communication to interchange the sensed data from the smart devices. This media may be Wi-Fi, 3G, 4G, long term evolution-advanced (LTE-A), Radio Frequency Identification (RFID), near field communication (NFC), Z-wave, ultra-wide bandwidth (UWB), or Bluetooth [21].…”

Section: Communicationmentioning

confidence: 99%

Internet of things (IoT): a technology review, security issues, threats, and open challenges

Abbood

Shallal

Fadhel

2020

IJEECS

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<p><span>Internet of Things (IoT) devices are spread in different areas such as e-tracking, e-commerce, e-home, and e-health, etc. Thus, during the last ten years, the internet of things technology (IoT) has been a research focus. Both privacy and security are the key concerns for the applications of IoT, and still face a huge number of challenges. There are many elements used to run the IoT technology which include hardware and software such as sensors, GPS, cameras, applications, and so forth. In this paper, we have analyzed and explain the technology of IoT along with its elements, security features, security issues, and threats that attached to each layer of IoT to guide the consideration of researchers into solve and understand the most serious problems in IoT environment.</span></p>

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Section: Communicationmentioning

confidence: 99%

Internet of things (IoT): a technology review, security issues, threats, and open challenges

Abbood

Shallal

Fadhel

2020

IJEECS

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“…Nayak and Devulapalliin [17] proposed a fuzzy based technique in which a super cluster head is selected on the basis of some input parameters like distance, residual energy and node density. Logambigai in [19] proposed a Energy efficient grid based routing algorithm for wireless sensor network in which one grid co-ordinator form which reduce the number of hops from one to another node. P.Eak-Une [6] proposed fuzzy based cluster scheme which is distributed in nature and group head selection is done on the basis of remaining energy and intra-cluster distance also taken into consideration.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Based Techniques For Energy Efficient Cluster Head Selection For Wireless Sensor Network

Rai*,

Sharma

2019

IJEAT

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 Abstract: A WSN is split into various clustering nodes in order to obtain proper arrangement and network stability and thus drags the system's lifetime. Each detector node transmits the necessary data to cluster head of each cluster in each cluster-based WSN. Cluster head is liable for collecting the data gathered and forwarding it to sink of network deployed. This manuscript suggests an enhanced Fuzzy-based CH selection algorithm that observes the leftover energy, node compactness and sink distance as input to the Fuzzy inference system. For each node, the eligibility index is calculated to select the head of the cluster. By taking in account the probability assigned to , this algorithm chooses the best candidate for place of the cluster advisor. To each sensor node and helps to increase the energy efficient of network.

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“…Each cluster in the network has a cluster head. It generally receives the sensed data from cluster members then aggregates and transmits to the base station [8].In the clustering manner, selection of a suitable cluster head is very important, it can reduce energy depletion of sensor nodes and increase the lifetime of the wireless sensor network [9,13]. Generally, clustering procedures utilize two methods, electing cluster heads with higher remaining energy and revolving them periodically to balance energy depletion of the sensor nodes all over the network for prolonging the network lifetime.…”

Section: Introductionmentioning

confidence: 99%

“…As an intelligent technique, fuzzy logic is the most powerful tool that can be used for clustering procedure. In a wireless sensor network, it can be used to select suitable cluster heads [9,11]. Fuzzy logic has several advantages over traditional methods for instant, design time, computational complexity and development cost are low and it is more flexible [12].Sointhis paper, a novel fault tolerance algorithm named Fuzzy Informer Homed Routing (FIHR) protocol is introduced and simulated for wireless sensor networks using fuzzy logic.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Informer Homed Routing Protocol for Wireless Sensor Network

Kakamanshadi¹,

Gupta²,

Singh³

2019

IJCNC

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A wireless sensor network consists of severalsensor nodes. Sensor nodes collaborate to collect meaningful environmental information and send them to the base station. During these processes, nodes are prone to failure, due to the energy depletion, hardware or software failure, etc. Therefore, fault tolerance and energy efficiency are two important objectives for reliable packet delivery. To address these objectives a novel method called fuzzy informer homed routing protocol is introduced. The proposed method tries to distribute the workload between every sensor node. A fuzzy logic approach is used to handle uncertainties in cluster head communication range estimation. The simulation results show that the proposed method can significantly reduce energy consumption as compared with IHR and DHR protocols. Furthermore, results revealed that it performs better than IHR and DHR protocols in terms of first node dead and half of the nodes alive, throughput and total remaining energy. It is concluded that the proposed protocol is a stable and energy efficient fault tolerance algorithm for wireless sensor networks.

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Two-step fuzzy logic system to achieve energy efficiency and prolonging the lifetime of WSNs

Cited by 10 publications

References 44 publications

Internet of things (IoT): a technology review, security issues, threats, and open challenges

Internet of things (IoT): a technology review, security issues, threats, and open challenges

A Fuzzy Based Techniques For Energy Efficient Cluster Head Selection For Wireless Sensor Network

Fuzzy Informer Homed Routing Protocol for Wireless Sensor Network

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