scholarly journals Ann Based Route Optimization For Device-To-Device Iot Communication Using An Spectrum Aware Energy Efficient Routing Protocol

2019 ◽  
Vol 8 (6) ◽  
pp. 4488-4498
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Secure Routing ◽  
Minimal Energy ◽  
Energy Efficient Routing ◽  
Measuring Device ◽  
Device To Device ◽  
End To End

In the modern era, A huge demand for Wireless mobile communication, sensors and cloud computing, the technologies of Internet of Things (IoT) been broadly used in logistics, Smart Measuring Device, Security of public, intelligent Construction and so on. IoT requires a routing mechanism that consumes less energy and Device to Device Communication. The expanding number of electronic gadgets alongside plenty of mixed media applications, for example, versatile gaming, High Definition (HD) films and video conferencing have triggered quick advances in IoT technology and services. A communication based on IoT necessitates a spectrum aware energy-efficient routing protocol (SAEER) to support the network and find the best route that consumes minimal energy. There is a limited energy resource provide to each node that is used as a communicating node but a reduction in energy occurs regularly. These phenomena create an energy hole in the IoT network, which disturbs the service to IoT applications. To overcome this problem, SAEER protocol is the key objective of routing protocols. In existing work, lots of researchers have formulated an energy-efficient routing protocol that selects the best route for end to end in the network but many of them do not detect malicious nodes in the network. In this paper, SAEER is introduced to detect the malicious or fail node and select the best route that consumes minimal energy consumption. The introduced routing protocol diminish the involvement of node between end to end in the network because of this here rate of energy consumption is minimal. Moreover, it provides not only a proficient way to a maximum capacity of routing but also a secure network for end to end communication. Therefore in our proposed work, we use a hybridization of Genetic Algorithm (GA) and Artificial Neural Network (ANN) is utilized for the secure routing in IoT network with novel fitness function. The QoS parameter is compared with proposed and existing Work based on numerous routing protocols and the outcomes validate the optimization by ANN. The results indicate that the introduced protocol assigns 8.77% less energy consumption and high throughput rate in comparison to existing work and it more than 92%

scholarly journals Fireflies Ant Optimized Reliable Quality Awareness Energy Efficient Routing Protocol for Managing Quality of Medical Data in Wireless Body Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 5007-5012
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Medical Data ◽  
Energy Efficient Routing ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End ◽  
Quality Awareness

The wireless body area network is one of effective wearable devices that have been used in medical applications for collecting patient information to providing the treatment incorrect time for avoiding seriousness. The collected data’s such as blood pressure, air flow, temperature, electromagnetic information is transmitted to the health care center via the wireless technology, which reduces the difficulties also helps to provide the immediate treatment. During the information transmission, the main issues are Quality of Service (QoS), low packet delivery, high energy consumption and end to end delay. So, in this paper introduces the Fireflies Ant Optimized, Reliable Quality Awareness, Energy Efficient Routing Protocol ((FAORQEER) for maintaining the quality of the recorded medical data. The network examines the optimal path by using the characteristics of fireflies and the network life time and energy of the network is managed by introducing an energy efficient method. The process then evaluates efficiency with test results about energy consumption, packet delivery ratio, end to end delay and QoS metric associated constraints.

scholarly journals Novel Vector based Forwarding Protocol and Efficient Depth based Routing Protocol Acoustic Underwater Wireless Sensor

2021 ◽  
Author(s):  
R. Thiagarajan ◽  
V. Balajivijayan ◽  
R. Krishnamoorthy ◽  
I. Mohan
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Energy Efficient Routing ◽  
Acoustic Channel

Abstract Underwater Wireless Sensor Network offers broad coverage of low data rate acoustic sensor networks, scalability and energy saving routing protocols. Moreover the major problem in underwater networks is energy consumption, which arises due to lower bandwidth and propagation delays. An underwater wireless sensor network frequently employs acoustic channel communications since radio signals not worked in deep water. The transmission of data packets and energy-efficient routing are constraints for the unique characteristics of underwater. The challenging issue is an efficient routing protocol for UWSNs. Routing protocols take advantage of localization sensor nodes. Many routing protocols have been proposed for sensing nodes through a localization process. Here we proposed a Novel vector-based forwarding and efficient depth-based routing protocol. The proposed novel vector-based forwarding provides robust, scalable, and energy-efficient routing. It easily transfers nodes from source to destination. It adopts the localized and distributed alternation that allows nodes to weigh transferring packets and decreases energy consumption and provides better optimal paths. Efficient depth-based routing is a stochastic model that will succeed in a high transmission loss of the acoustic channel. The simulation was used to compare the energy consumption, network lifetime in the form of depth-based routing, delivery ratio, and vector-based forwarding to prove the optimal route finding paths and data transmission propagation delay.

scholarly journals Secure and Energy Efficient Trust Aware Routing Protocol in IoT using the Optimized Artificial Neural Network: SEETA-IoT

2019 ◽  
Vol 8 (6) ◽  
pp. 4341-4353
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Consumption Rate ◽  
Transmission Rate ◽  
Packet Transmission ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Energy Consumption Rate

Nowadays, Internet of Things (IoT) has been widely used in many areas such as surveillance of battlefield, controlling of industry, pipeline monitoring, ecological monitoring, healthcare and medical science, defense and military affairs, etc. To make better IoT based applications, secure routing plays an imperative responsibility for Device-to-Device (D2D) data packet transmission. The most essential inventiveness behind this research is to design a Secure and Energy Efficient Trust Aware (SEETA) routing protocol in terms of detecting the fail/malicious nodes by utilizing the Artificial Neural Network (ANN) using Particle Swarm Optimization (PSO) Algorithm. To discover a secure and energy-efficient route, the trust-based approach is integrated with GOA and ANN. Therefore, this research focuses on the security enhancement of the IoT network using the concept of trust-based route maintenance mechanism. In IoT networks, communicating sensor nodes have limited energy resources and a rapid energy reduction of communicating nodes leads to the creation of energy holes in the network. To overcome this problem, an energy-efficient mechanism of trust aware approach is also one of the essential objectives of IoT routing protocols. To avoid unnecessary network failure and extra energy consumption rate, we had designed a model using the concept of PSO based ANN with a novel fitness function and for involvement in the routing process, sensor nodes should fulfill the fitness criteria; otherwise, the system considers as affected communicating nodes. From the experiments conducted, it is proved that the proposed SEETA routing protocol using the PSO and ANN, achieves significant performance improvement over the existing schemes in terms of security, energy efficiency and packet transmission rate. Besides, SEETA routing protocol also reduces the number of intermediates nodes in D2D route discovery mechanism for IoT networks which helps to decrease the energy consumption rate and also offers a proficient approach to discover secure routing support with maximum routing capacity and end to end data transmission rate. The QoS performance parameter of our routing protocol is analyzed with standard and existing work with several routing protocols and the experimental results validating the concept of optimized ANN. The experimental results indicate that the introduced SEETA routing protocol provides 8.74% less energy consumption rate and high data delivery rate and data delivery rate is improved by 92% as compare to exiting works

A Survey on Hierarchical Cluster Based Secure Routing Protocols and Key Management Schemes in Wireless Sensor Networks

2018 ◽  
pp. 18-26
Author(s):  
Yugashree Bhadane ◽  
Pooja Kadam
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Key Management ◽  
Energy Efficient ◽  
Base Station ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Management Schemes ◽  
Cluster Based Routing

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.

scholarly journals EERP-DPM: Energy Efficient Routing Protocol Using Dual Prediction Model for Healthcare Using IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Faris A. Almalki ◽  
Soufiene Ben Othman ◽  
Fahad A. Almalki ◽  
Hedi Sakli
Keyword(s):  
Energy Consumption ◽  
Prediction Model ◽  
Routing Protocol ◽  
Health Care Professionals ◽  
Energy Efficient ◽  
Temporal Correlation ◽  
Sensor Nodes ◽  
Energy Efficient Routing ◽  
Battery Lifetime ◽  
Redundant Data

Healthcare is one of the most promising domains for the application of Internet of Things- (IoT-) based technologies, where patients can use wearable or implanted medical sensors to measure medical parameters anywhere and anytime. The information collected by IoT devices can then be sent to the health care professionals, and physicians allow having a real-time access to patients’ data. However, besides limited batteries lifetime and computational power, there is spatio-temporal correlation, where unnecessary transmission of these redundant data has a significant impact on reducing energy consumption and reducing battery lifetime. Thus, this paper aims to propose a routing protocol to enhance energy-efficiency, which in turn prolongs the sensor lifetime. The proposed work is based on Energy Efficient Routing Protocol using Dual Prediction Model (EERP-DPM) for Healthcare using IoT, where Dual-Prediction Mechanism is used to reduce data transmission between sensor nodes and medical server if predictions match the readings or if the data are considered critical if it goes beyond the upper/lower limits of defined thresholds. The proposed system was developed and tested using MATLAB software and a hardware platform called “MySignals HW V2.” Both simulation and experimental results confirm that the proposed EERP-DPM protocol has been observed to be extremely successful compared to other existing routing protocols not only in terms of energy consumption and network lifetime but also in terms of guaranteeing reliability, throughput, and end-to-end delay.

scholarly journals Energy Efficient TABU Optimization Routing Protocol for WSN

2020 ◽  
Vol 16 (3) ◽  
pp. 1-31
Author(s):  
Varsha Shani ◽  
Manju Bala ◽  
Manoj Kumar ◽  
Neeraj Kumar
Keyword(s):  
Network Lifetime ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Hybrid Technique ◽  
Energy Efficient Routing ◽  
Search Mechanism ◽  
Average Residual ◽  
Heuristic Technique ◽  
The Impact

Introduction: This article is the result of the research “Energy efficient routing protocols in wireless sensor network: Examine the impact of M-SEEC routing protocols on the lifetime of WSN with an energy efficient TABU optimization routing protocol”developed in the IKG, Punjab Technical University, India in 2019.Problem: The task of finding and maintaining routes in WSNs is non-trivialsince energy restrictions and sudden changes in node status cause frequent and unpredictable changes.Objective: The objective of this paper is to propose an energy efficient heterogeneous protocolwith the help of a hybrid meta-heuristic technique.Methodology: In the hybrid meta-heuristic technique, the shortest route has been selected and the data forwarded to the sink in a minimal time span,savingenergy and making the network more stable. To evaluate the technique, a new hybrid technique has been created where the data transmission is implemented from the beginning under MATLAB 2013a.Results: The proposed technique is better than the existing ones since the remaining energy in the network is increased by 62% compared to normal nodes in MSEEC, 65% compared to advanced nodes in MSEEC and 70% compared to super nodes in MSEEC. The network lifetime was also enhanced by 70.8% compared to MSEEC.Conclusion: The proposed protocol was found to be superior based on the average residual energy.This paper proposes an efficient routing mechanism towards the energy efficient network.Originality: Through this research, a novel version of MSEEC protocol is carried out using the TABU search mechanism to generate the functions of two neighbourhoods to detect the optimum path with the aim of maximizing the network lifetime in an area of 200×200m2.Limitations: The lack of other routing techniques falls under swarm intelligence.

Combined Design of Localization and Routing

2011 ◽  
Vol 403-408 ◽  
pp. 1696-1699
Author(s):  
Cai Xia Li ◽  
Nai Bo Wang ◽  
Qi Ying Cao ◽  
Hong Gang Liu ◽  
Xin Hua Zhou
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Research Work ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Research Issues ◽  
Main Research ◽  
Network Localization ◽  
Location Algorithm

Nodes self-localization and routing are two main research issues in wireless sensor networks. There are quite a few publications about sensor network localization or routing protocols, but seldom person combines them in their research work. In this paper, we combine a novel TOA location technique and a new centralized energy-efficient routing protocol. The performance of the combination is then simulated by software. Simulation results show that the routing based on the positions got by our location algorithm is as good as the routing based on true positions and can afford most application demands.

A Location Based Energy Proficient Path Routing for Internet of Things and Its Applications

2020 ◽  
pp. 6-10
Author(s):  
Arulanantham D ◽  
Pradeepkumar G ◽  
Palanisamy C ◽  
Dineshkumar Ponnusamy
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Network Architecture ◽  
Base Station ◽  
Consumer Electronics ◽  
The Internet ◽  
Energy Efficient Routing ◽  
The Internet Of Things

The Internet of Things (IoT) is an establishment with sensors, base station, gateway, and network servers. IoT is an efficient and intellectual system that minimizes human exertion as well as right to use to real devices. This method also has an autonomous control property by which any device can control without any human collaboration. IoT-based automation has become very reasonable and it has been applied in several sectors such as manufacturing, transport, health care, consumer electronics, etc. In WSN’s smaller energy consumption sensors are expected to run independently for long phases. So much ongoing researches on implementing routing protocols for IoTbased WSNs.Energy consciousness is an essential part of IoT based WSN design issue. Minimalizing Energy consumption is well-thought-out as one of the key principles in the Expansion of routing protocols for the Internet of things. In this paper, we propose a Location based Energy efficient path routing for Internet of things and its applications its sensor position and clustering based finding the shortest path and real time implementation of Arduino based wireless sensor network architecture with the ESP8266 module. Finally, analyze the principles of Location-based energy-efficient routing and performance of QoS parameters, and then implemented automatic gas leakage detection and managing system.

Energy-Efficient Routing Protocol on Mobile Sink in Wireless Sensor Network

2013 ◽  
Vol 787 ◽  
pp. 1050-1055 ◽  
Author(s):  
Zhi Gui Lin ◽  
Hui Qi Zhang ◽  
Xu Yang Wang ◽  
Fang Qin Yao ◽  
Zhen Xing Chen
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Model Simulation ◽  
Cluster Head ◽  
Mobile Sink ◽  
High Energy ◽  
Residual Energy ◽  
Energy Efficient Routing ◽  
Simulation Results

To the disadvantages, such as high energy consumption and the energy consumption imbalance, we proposed an energy-efficient routing protocol on mobile sink (MSEERP) in this paper. In the MSEERP, the network is divided into several square virtual grids based on GAF, each grid is called a cluster, and the cluster head election method of GAF is improved. In addition, the MSEERP introduces a mobile sink in the network, the sink radios in limited number of hops and uses control moving strategy, namely the sink does not collect the information until it moves to a cluster with highest residual energy. We applied NS2 to evaluate its performance and analyze the simulation results by the energy model. Simulation results show that the MSEERP balances the energy consumption of the network, saves nodes energy and extends the network lifetime.

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