Intelligent data analytics in energy optimization for the internet of underwater things

Arul, Rajakumar; Alroobaea, Roobaea; Mechti, Seifeddine; Rubaiee, Saeed; Andejany, Murad; Tariq, Usman; Iftikhar, Sadaf

doi:10.1007/s00500-021-06002-x

Cited by 16 publications

(10 citation statements)

References 28 publications

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“…ETALGOR achieves an average residual energy improvement of 10.51% over LOADng. An average residual energy improvement of 31.40% is attained by Intelligent Data Analytics-Optimized Energy Planning (IDA-OEP) protocol (1) . Thus, 15.43% better RE is accomplished using ETALGOR over IDA-OEP.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The ETX parameter specifies the size of transmissions necessary to transfer a packet effectively. The equation for a link's ETX is given in (1),…”

Section: Proposed Workmentioning

confidence: 99%

“…Another problem is the high packet loss during the retransmission of packets among two nodes. Also, the network operational cost is higher (1) .…”

Section: Introductionmentioning

confidence: 99%

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ETX-Aware Energy-Efficient Algorithm to Reduce Packet Retransmissions in the Internet of Things

Newton¹,

Felix²

2022

IJST

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Objectives: An energy-efficient optimum path selection to reduce the number of packet retransmissions in a path is proposed in this paper using a new metric New-Expected Transmission Count (N-ETX), Residual Energy (RE), and Path Objective Function (POF). Methods: Energy efficiency, packet retransmission, and RE is considered while making the best choice of the optimum path. The refined N-ETX metric is employed to measure the Packet Delivery Ratio (PDR) of a node. If the PDR ratio is higher, this node is included in the optimum path set. The proposed algorithm avoids the inclusion of critical nodes such as dead nodes if the RE of the nodes is lower than the predefined Energy Threshold (E T HR ). The Unicast message reply to strategy significantly decreases the quantity of control message overhead. The T-test's Degree of Variance and Degree of Independence is used to discover the energy-efficient optimum path. It is demonstrated through performance outcomes that the obtained Quality of Service (QoS) parameters for the proposed algorithm stands superior to the state-of-art protocols. Findings: An algorithm established on N-ETX and RE metrics is proposed, and the discussions have shown that this approach is energy efficient. This metric decreases the quantity of packet retransmission effectively for a path. As an outcome, the sensor's higher energy consumption is reduced. The proposed algorithm outperforms the current algorithm by decreasing energy consumption, reducing the quantity of packet retransmission, improving the PDR ratio, and enhancing the network life expectancy. The simulation outcome established that energy consumed is decreased by 19.07%, RE of the nodes is increased by 10.51%, PDR ratio is increased to 98%, and network lifespan is increased by 30.54%. Novelty: Internet of Things (IoT) gadgets are bound by hardware limits regarding computation, memory, and energy proficiency. To effectively transmit data packets, every IoT device must have a routing communications protocol that is easy to create. IoT devices necessitate the demand for self-adaptive routing algorithms. During network operation, packet energy dissipation during the broadcast and reception process is significantly higher when assessed to other https://www.indjst.org/ energy-consuming processes like sensing, data processing, etc.

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Section: Simulation Resultsmentioning

confidence: 99%

“…The ETX parameter specifies the size of transmissions necessary to transfer a packet effectively. The equation for a link's ETX is given in (1),…”

Section: Proposed Workmentioning

confidence: 99%

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ETX-Aware Energy-Efficient Algorithm to Reduce Packet Retransmissions in the Internet of Things

Newton¹,

Felix²

2022

IJST

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“…Since meals are the essential source of diet for all living beings, the quality and security of meals have always been in high demand. The Internet of Things (IoT) links anything, everywhere, and at any time (1)(2)(3)(4) and by incorporating the IoT into the Food Supply Chain (FSC) management, it is possible to improve food shelf life by measuring and monitoring the state of the food and exchanging data to and from customers. Currently, the whole use of IoT technologies in FSC is only in its early stages, with a long way to go (5,6).…”

Section: Introductionmentioning

confidence: 99%

An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis

Sonwani

Bansal

Alroobaea

et al. 2022

Front. Public Health

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Aiming to increase the shelf life of food, researchers are moving toward new methodologies to maintain the quality of food as food grains are susceptible to spoilage due to precipitation, humidity, temperature, and a variety of other influences. As a result, efficient food spoilage tracking schemes are required to sustain food quality levels. We have designed a prototype to track food quality and to manage storage systems at home. Initially, we have employed a Convolutional Neural Network (CNN) model to detect the type of fruit and veggies. Then the proposed system monitors the gas emission level, humidity level, and temperature of fruits and veggies by using sensors and actuators to check the food spoilage level. This would additionally control the environment and avoid food spoilage wherever possible. Additionally, the food spoilage level is informed to the customer by an alert message sent to their registered mobile numbers based on the freshness and condition of the food. The model employed proved to have an accuracy rate of 95%. Finally, the experiment is successful in increasing the shelf life of some categories of food by 2 days.

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“…Various topologies are available for arranging the cores and are suitable for diverse scenarios. Routing algorithms to route the packets are available for various topologies for efficient routing [6], [7]. Some algorithms use fixed paths, and some may use paths depending on the congestion in the network.…”

Section: Introductionmentioning

confidence: 99%

Congestion aware and game based odd even adaptive routing in network on chip many-core architecture

Doraisamy

Moharir

Arul

2022

IJEECS

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The era of single processors had almost reached a saturation state, and the industry had moved to multi-core processors for the newer generation of many-core architecture. Interconnections between multiple cores with network on chip (NoC) surpass traditional bus architecture for its quality of service (QoS) and other additional services. Seamless communication among the cores is more significant for better performance and the proper utilization of the cores. The rise in the cores count in a semiconductor chip adds the complexity of the communication among cores. Cache misses request and packet transmission’s traffic possibly will reduce the performance of the architecture. A theoretical game-based methodology is proposed to improvise the performance and communication by routing the request packets in the NoC of the many core architectures and the throughput is maximized with reduced latency by using the stag-hunt game (SHG) model. The proposed communication algorithm routes the packets in an adaptive way by detecting the congestion in routers. The SHG based odd-even routing algorithm is adaptive and can divert the packets towards less congested routers using the information gathered about congestion in the system, so that the overall performance of the system in terms of latency and throughput is improved.

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Intelligent data analytics in energy optimization for the internet of underwater things

Cited by 16 publications

References 28 publications

ETX-Aware Energy-Efficient Algorithm to Reduce Packet Retransmissions in the Internet of Things

ETX-Aware Energy-Efficient Algorithm to Reduce Packet Retransmissions in the Internet of Things

An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis

Congestion aware and game based odd even adaptive routing in network on chip many-core architecture

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