Delay-Efficient Energy-Minimized Data Collection With Dynamic Traffic in WSNs

Kang, Byungseok; Nguyen, Phuc; Choo, Hyunseung

doi:10.1109/jsen.2017.2788409

Cited by 16 publications

(5 citation statements)

References 29 publications

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“…. * 100 (17) From (17), denotes data packet loss rate, denotes a data packet loss, represents data packet sent from source node. The data packet loss rate is assessed in percentage (%).…”

Section: Simulation Results Of Data Packet Loss Ratementioning

confidence: 99%

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Energy efficient chaotic whale optimization technique for data gathering in wireless sensor network

Sridhar¹,

Guruprasad²

2020

IJECE

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A Wireless Sensor Network includes the distributed sensor nodes using limited energy, to monitor the physical environments and forward to the sink node. Energy is the major resource in WSN for increasing the network lifetime. Several works have been done in this field but the energy efficient data gathering is still not improved. In order to amend the data gathering with minimal energy consumption, an efficient technique called chaotic whale metaheuristic energy optimized data gathering (CWMEODG) is introduced. The mathematical model called Chaotic tent map is applied to the parameters used in the CWMEODG technique for finding the global optimum solution and fast convergence rate. Simulation of the proposed CWMEODG technique is performed with different parameters such as energy consumption, data packet delivery ratio, data packet loss ratio and delay with deference to dedicated quantity of sensor nodes and number of packets. The consequences discussion shows that the CWMEODG technique progresses the data gathering and network lifetime with minimum delay as well as packet loss than the state-of-the-art methods.

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“…. * 100 (17) From (17), denotes data packet loss rate, denotes a data packet loss, represents data packet sent from source node. The data packet loss rate is assessed in percentage (%).…”

Section: Simulation Results Of Data Packet Loss Ratementioning

confidence: 99%

“…In [17], delay-efficient traffic adaptive (DETA) method was introduced aimed at collecting the data from sensor nodes using lesser consumption of energy. Though the method considerably reduces the data collection delay, the data packet delivery proportion was not enriched.…”

Section: Related Workmentioning

confidence: 99%

Energy efficient chaotic whale optimization technique for data gathering in wireless sensor network

Sridhar¹,

Guruprasad²

2020

IJECE

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“…The WSN and ad-hoc routing algorithm is widely used in DTN networks [17][18][19][20][21]. A wireless ad-hoc network (or IoT network) is a collection of distributed nodes.…”

Section: A Proposed Detn Algorithmmentioning

confidence: 99%

DETN: Delay-Efficient Tolerant Network for Internet of Planet

et al. 2021

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The explosion of the internet has resulted in various emerging technologies, as for example the Internet of Things (IoT). IoT is an intelligent technology and service connecting objects in the Internet. IoT facilitates the exchange of information between people and devices that communicate with each other. Beyond IoT, we are now studying a new paradigm called Internet of Planets (IoP), in which planets in a solar system communicate with each other using the Internet. This paper presents our research in the internet communications between planets, detailing benefits, limitations and directions for future work. We propose a time (delay) information-based Delay Efficient Tolerant Networking (DETN) routing scheme for efficient data transmission among mobile nodes. The results of the proposed DTN routing algorithm using NS-3 simulation tools indicate satisfactory levels of routing performance in comparison with existing DTN algorithms.

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“…Li et al [32] proposed a novel scheduling optimization problem for energy harvesting mobile sensor network, that maximizes the amount of collected data under the constraints of radio link quality and energy harvesting efficiency, while ensuring a fair data reception. Kang et al [33] proposed a delay-efficient traffic adaptive (DETA) scheme for collecting data from sensor nodes with minimum energy consumption. The DETA scheme minimizes data collection delay by constructing delay-efficient, collision-free schedule, and by using a special mechanism to enable every node to self-adapt with the changes of data traffic.…”

Section: Literature Reviewmentioning

confidence: 99%