A Novel Energy Efficient Routing Algorithm for Wireless Sensor Networks Using Sink Mobility

Jose, Deepa V.; Sadashivappa, G.

doi:10.5121/ijwmn.2014.6602

Cited by 11 publications

(8 citation statements)

References 20 publications

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“…To improve the life of the network, each protocol must have its own strategy, in which routing is one of the strategies that play an important role. Mobile sinks have been proposed with efficient extended simulations through the mobile sink assisted (MSA) algorithm [19]. Assuming that the sensor nodes are randomly allocated, the mobile sink can navigate the network to collect data and move to a fixed sink.…”

Section: Msamentioning

confidence: 99%

Incorporate ACO routing algorithm and mobile sink in wireless sensor networks

Hung

2021

IJECE

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Today, science and technology is developing, particularly the internet of things (IoT), there is an increasing demand in the sensor field to serve the requirements of individuals within modern life. Wireless sensor networks (WSNs) was created to assist us to modernize our lives, saving labor, avoid dangers, and that bring high efficiency at work. There are many various routing protocols accustomed to increase the ability efficiency and network lifetime. However, network systems with one settled sink frequently endure from a hot spots issue since hubs close sinks take a lot of vitality to forward information amid the transmission method. In this paper, the authors proposed combining the colony optimization algorithm ant colony optimization (ACO) routing algorithm and mobile sink to deal with that drawback and extend the network life. The simulation results on MATLAB show that the proposed protocol has far better performance than studies within the same field.

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Section: Msamentioning

confidence: 99%

Incorporate ACO routing algorithm and mobile sink in wireless sensor networks

Hung

2021

IJECE

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“…Various studies indicate that the communication process consumes much more power than the processing and sensing functionalities. Same logic has also been utilized by Jose et al in [19], where they proposed a Mobile Sink Assisted algorithm (MSA) for data collection after culmination of three different phases instead of gathering it on a continuous basis. The simulation results showed a considerable improvement in terms of average packet delay and average energy consumption was optimized over longer time samples.…”

Section: B Data Centric Protocolsmentioning

confidence: 99%

A Review of Routing Protocol Selection for Wireless Sensor Networks in Smart Cities

Khalil

Ammar

Khan

et al. 2018

2018 24th Asia-Pacific Conference on Communications (APCC)

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Today, the advancements in urban technology have transformed into the concept of smart cities. These smart cities are envisioned to be heavily dependent on wireless sensor networks and internet of things. In this context, a number of routing protocols have been proposed in literature for use in sensor networks. We articulate on why these routing protocols need to be segregated on the basis of their operational mechanism and utility, so that selection of these protocols results in network longevity and improved performance. We classify these protocols in four categories in terms of topology incognizant, data centric, location assisted and mobility based protocols. We identify the prevailing open issues to make space for more productive research and propose how these categories may be useful in terms of their operational utility.

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“…At present, the research on reliability of WSN focuses on the impact of protocols or algorithms on network performance [3][4][5]. In this paper, we will extract the performance indexes of WSN from the system perspective and establish a wireless sensor network reliability model based on fuzzy neural network to achieve WSN reliability assessment.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Reliability Evaluation of Wireless Sensor Networks Based on Fuzzy Neural Network

2018

Int. J. Onl. Eng.

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<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">In this paper, a reliability evaluation model based on fuzzy neural network is proposed to evaluate the reliability of wireless sensor networks without a unified standard. Firstly, the reliability is analyzed from the point of view of topology structure, protocol stack structure and reliability mechanism of wireless sensor network, and the performance indexes that affect the reliability are extracted. Secondly, some performance indexes are screened out, and the standard value matrix of reliability evaluation for index fuzzy quantization is established. The sample data is generated by interpolation, and the reliability evaluation model based on fuzzy neural network is established. The neural network model takes the selected index values as input, and outputs are the reliability of the wireless sensor network. The simulation results show that the evaluation model is basically consistent with the actual situation, and it can evaluate the wireless sensor network from the system level.</span>

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A Novel Energy Efficient Routing Algorithm for Wireless Sensor Networks Using Sink Mobility

Abstract: ABSTRACT

Cited by 11 publications

References 20 publications

Incorporate ACO routing algorithm and mobile sink in wireless sensor networks

Incorporate ACO routing algorithm and mobile sink in wireless sensor networks

A Review of Routing Protocol Selection for Wireless Sensor Networks in Smart Cities

A New Method for Reliability Evaluation of Wireless Sensor Networks Based on Fuzzy Neural Network

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