Energy Efficient Routing Protocol Research Articles

An improved Aquila optimization with fuzzy model based energy efficient cluster routing protocol for wireless sensor networks

Due to the latest advances in microelectronics, wireless sensor networking (WSN) has been introduced in many applications. The flow of event data in WSN applications requires timely and reliable distribution so that immediate response and appropriate action can be taken. However, the limited power supply to the sensor terminal causes a transmission between the delay on the way to the base station and the power consumption. Clustering techniques are essential in developing the WSN routing algorithm that improves network operating time and power efficiency. However, due to the unbalanced power consumption between the terminals, the WSN is the optimal, energy efficient routing. In this work, we propose an energy efficient cluster based routing protocol (EEC-HO) for WSN using hybrid optimization algorithm. We introduce an improved Aquila optimization with fuzzy (IAO-Fuzzy) model for optimal and efficient cluster formation and cluster head (CH) computation. The main objective of proposed IAO-Fuzzy model used to compute the trust degree of each node, the highest trust node is considered as CH. After that, the hybrid beetle search induced decision making (BSDM) algorithm for optimal path selection to transfer data transfer between two nodes. Finally, the simulation results of proposed EEC-HO routing protocol is compared with the existing routing protocols. For the impact of sensor node density case, we observed that the effectiveness of proposed EEC-HO routing protocol is 45.887%, 30.666%, 56.666%, 17.629% and 41.666% efficient than existing protocols in terms of energy consumption, network lifetime, average hop count, throughput and dead nodes respectively. For the impact of simulation rounds case, we observed that the effectiveness of proposed EEC-HO routing protocol is 21.216%, 35.417%, 41.667%, 18.568% and 40.000% efficient than existing protocols in terms of energy consumption, network lifetime, average hop count, throughput and number of dead nodes respectively.

An Investigation of Various Versions of AODV Protocol for Discovering Routing Path and Eliminating Packet Loss

A Mobile Ad hoc Network (MANET) is a network made up of mobile nodes that communicate through radio. It is a self-contained computer that can be individually programmed, ordered, and controlled. The nodes of an ad hoc network move at their own pace. Ad hoc network nodes are unable to communicate directly with one another due to their short propagation ranges. The topology of the network moves as nodes in a network switch, resulting in frequent route failures. The nodes of the ad hoc network are powered by a battery with a limited energy supply. When a node's battery dies, the network lifespan is shortened, resulting in network loss. Routing is a critical component of MANETs. As a result, Energy Efficient Routing Protocol is chosen to boost network efficiency. There are many routing protocols used to transfer data packets in wireless Ad hoc networks, the most important of which is the Ad hoc On-demand Distance Vector (AODV) Routing Protocol. The key issue with using AODV is that connection errors occur as a result of node movement that is unpredictable. As either the source node or an intermediate node shifts during data packet transfer, the energy in the nodes is lost again due to the additional path exploration process, which occurs several times. This paper provides a literature review of various implementations of the AODV protocol in the form of routing route exploration and packet loss reduction.

Energy efficient multipath routing protocol for MANET for enhancing QoS and QoE in multimedia applications

In mobile ad hoc network (MANET) the devices are interconnected by wireless manner that are able to ubiquitously retrieve contents such as video and audio streams, still images, and scalar sensor data from the environment. MANET provides low power in hazardous environment where replacement of fault evaluation in the MANET is impossible. Hence, development of an energy efficient network is essential in MANET, where the cost of network depends on the energy consumption of each mobile node. Overutilization of energy by a mobile node cannot contribute to the utility or the network as a whole. Hence to optimize the utilization of energy at each node, we propose an energy efficient multipath routing protocol for MANET for enhancing QoS and QoE metrics (EMRP-QQ), which can eventually minimize the data loss and hence there liability of the mobile nodes and the overall network. In our proposed approach an energy efficient clustering is performed using particle swarm optimization (PSO), where all the nodes are clustered without any residual nodes left in the system. Using the appropriate selection of CH and SCH the overall networks overhead utilization is reduced and hence the QoS of the network is enhanced. The result obtained through NS-2 simulation shows that the proposed algorithm performs better than FQ-MP-OLSR approach in terms of reduced energy consumption of each node without affecting QoS and QoE metrics.

Blockchain enabled joint trust (MF‐WWO‐WO) algorithm for clustered‐based energy efficient routing protocol in wireless sensor network

AbstractIn this manuscript, a blockchain enabled joint trust (MF‐WWO‐WO) algorithm for clustered based energy efficient routing protocol in wireless sensor network (WSN) is proposed for secure data transmission by finding the optimum cluster head (CH) in the network. Here, MayflyWater Wave Optimization (MF‐WWO) algorithm is used for CH selection accurately. After the selection of CH, the malicious node occurs in the cluster. Hence, the multi objective whale optimization algorithm is proposed to find the trust path from the several paths. At last, the optimized selected trust paths are given to the blockchain for communications in the network that is safe and more trustworthy. The simulation is done in MATLAB. The proposed MF‐WWO‐WO achieves high throughput, high efficiency, high network life time, high packet delivery ratio, low delay, low energy consumption, and low packet loss ratio. The outcomes shows the better performance of the proposed approach when compared to the existing approaches, like blockchain and clustered based secured data aware energy efficient using fitness averaged rider optimization algorithm FA‐ROA blockchain and clustered based secured data aware energy efficient using trusted moth flame optimization and genetic optimization algorithm TMFO‐GOA. Finally, the proposed approach attains better energy efficiency and security.

An improved evaporation rate water cycle algorithm for energy-efficient routing protocol in WSNs

PurposeThe paper aims to introduce an efficient routing algorithm for wireless sensor networks (WSNs). It proposes an improved evaporation rate water cycle (improved ER-WC) algorithm and outlining the systems performance in improving the energy efficiency of WSNs. The proposed technique mainly analyzes the clustering problem of WSNs when huge tasks are performed.Design/methodology/approachThis proposed improved ER-WC algorithm is used for analyzing various factors such as network cluster-head (CH) energy, CH location and CH density in improved ER-WCA. The proposed study will solve the energy efficiency and improve network throughput in WSNs.FindingsThis proposed work provides optimal clustering method for Fuzzy C-means (FCM) where efficiency is improved in WSNs. Empirical evaluations are conducted to find network lifespan, network throughput, total network residual energy and network stabilization.Research limitations/implicationsThe proposed improved ER-WC algorithm has some implications when different energy levels of node are used in WSNs.Practical implicationsThis research work analyzes the nodes’ energy and throughput by selecting correct CHs in intra-cluster communication. It can possibly analyze the factors such as CH location, network CH energy and CH density.Originality/valueThis proposed research work proves to be performing better for improving the network throughput and increases energy efficiency for WSNs.

IRDFPR-CMDNN: An energy efficient and reliable routing protocol for improved data transmission in MANET

Mobile Ad hoc Networks (MANET) are structure less, autonomous wireless networks with mobile nodes that dynamically establish data transmission connections. Due to dynamic topological change, MANET routes are unbalanced and break repeatedly. Hence, providing efficient and reliable data delivery with effective utilization of network resources is a challenging issue to be considered in MANET. This paper proposes an instant-runoff Ranked Decision Forests Probit Regression-based Connectionist Multilayer Deep Neural Network (IRDFPR-CMDNN) for efficient data transmission and higher data delivery with a minimum end-to-end delay. This IRDFPR-CMDNN method performs route identification, data delivery, and route maintenance with more than three layers. Then the mobile nodes are sent to the input layer of the Connectionist Multilayer Deep Neural Network. In hidden layer 1, the Instant-runoff Ranked Decision Forests algorithm is applied for classifying the mobile nodes depending on the residual energy and load capacity. With selected mobile nodes, the Probit Regression is applied for finding the nearest neighboring nodes in the second hidden layer based on the link quality and received signal strength for route path establishment. Then multiple paths for routing are established from source to destination node and start to perform the data transmission. If link failure occurs during the data transmission, another alternative route with better link quality is selected for routing. In this way, energy-efficient data transmission is performed from source to destination with a higher data delivery rate and minimal time consumption. Experimental evaluation is carried out on energy consumption, packet delivery ratio, packet drop rate, throughput, and end-to-end delay with varying numbers of mobile nodes and data packets. Simulation results show that the IRDFPR-CMDNN technique effectively enhances data delivery, throughput and minimizes energy consumption, packet loss rate, delay with respect to conventional methods.

Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture

Wireless sensor networks (WSNs), one of the fundamental technologies of the Internet of Things (IoT), can provide sensing and communication services efficiently for IoT-based applications, especially energy-limited applications. Clustering routing protocol plays an important role in reducing energy consumption and prolonging network lifetime. The cluster formation and cluster head selection are the key to improving the performance of the clustering routing protocol. An energy-efficient routing protocol based on multi-threshold segmentation (EERPMS) was proposed in this paper to improve the rationality of the cluster formation and cluster heads selection. In the stage of cluster formation, inspired by multi-threshold image segmentation, an innovative node clustering algorithm was developed. In the stage of cluster heads selection, aiming at minimizing the network energy consumption, a calculation theory of the optimal number and location of cluster heads was established. Furthermore, a novel cluster head selection algorithm was constructed based on the residual energy and optimal location of cluster heads. Simulation results show that EERPMS can improve the distribution uniformity of cluster heads, prolong the network lifetime and save up to 64.50%, 58.60% and 56.15% network energy as compared to RLEACH, CRPFCM and FIGWO protocols respectively.

Energy sink-holes avoidance method based on fuzzy system in wireless sensor networks

The existence of a mobile sink for gathering data significantly extends wireless sensor networks (WSNs) lifetime. In recent years, a variety of efficient rendezvous points-based sink mobility approaches has been proposed for avoiding the energy sink-holes problem nearby the sink, diminishing buffer overflow of sensors, and reducing the data latency. Nevertheless, lots of research has been carried out to sort out the energy holes problem using controllable-based sink mobility methods. However, further developments can be demonstrated and achieved on such type of mobility management system. In this paper, a well-rounded strategy involving an energy-efficient routing protocol along with a controllable-based sink mobility method is proposed to extirpate the energy sink-holes problem. This paper fused the fuzzy A-star as a routing protocol for mitigating the energy consumption during data forwarding along with a novel sink mobility method which adopted a grid partitioning system and fuzzy system that takes account of the average residual energy, sensors density, average traffic load, and sources angles to detect the optimal next location of the mobile sink. By utilizing diverse performance metrics, the empirical analysis of our proposed work showed an outstanding result as compared with fuzzy A-star protocol in the case of a static sink.

SDBMND: Secure Density-Based Unsupervised Learning Method with Malicious Node Detection to Improve the Network Lifespan in Densely Deployed WSN

Random deployment, the absence of central authority, and the autonomous nature of the network make wireless sensor networks (WSNs) prone to security threats. Security, bandwidth, poor connectivity, intrusion, energy constraints, and other challenges are critical and could affect the performance of the WSN while considering the energy-efficient and secure routing protocols in WSNs. Security threats to WSNs are gradually being expanded. Thus, to improve the network’s performance, detection of anomalies (malicious and suspicious nodes, redundant data, bad connections, etc.) is important. This paper is aimed at introducing the malicious node detection algorithm based on the DBSCAN algorithm, which is a density-based unsupervised learning method for enabling wireless sensor networks to be much more secure and reliable. The prime objective of this algorithm is to develop a routing algorithm capable of detecting malicious nodes and having a prolonged network lifespan and higher stability period. Clustering and classification are two well-known methods in the field of machine learning that can be successfully used in various domains. Density-based clustering is a popular and extensively used approach in various domains. The DBSCAN is the utmost popular and best-known density-based clustering algorithm and is capable of determining arbitrary-shaped clusters. This paper addresses the two anomalies in the WSN, namely, spatial redundancy and malicious node identification. In this article, an algorithm has been suggested to reduce redundant data transmission along with the identification of suspicious nodes to conserve energy and to avoid falsification of data through malicious nodes. The analysis of simulation results and comparison of other algorithms that are in the same class shows that the SDBMND performs significantly better than EAMMH, TEEN, IC-ACO, and LEACH in dense networks.

An Enhanced Heterogeneous Gateway-Based Energy-Aware Multi-Hop Routing Protocol for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) continue to provide essential services for various applications such as surveillance, data gathering, and data transmission from hazardous environments to safer destinations. This has been enhanced by the energy-efficient routing protocols that are mostly designed for such purposes. Gateway-based Energy-Aware Multi-hop Routing protocol (MGEAR) is one of the homogenous routing schemes that was recently designed to more efficiently reduce the energy consumption of distant nodes. However, it has been found that the protocol has a high energy consumption rate, lower stability period, and poorer data transmission to the Base station (BS) when it was deployed for a longer period of time. In this paper, an enhanced Heterogeneous Gateway-based Energy-Aware multi-hop routing protocol (HMGEAR) is proposed. The proposed routing scheme is based on the introduction of heterogeneous nodes in the existing scheme, selection of the head based on the residual energy, introduction of multi-hop communication strategy in all the regions of the network, and implementation of energy hole elimination technique. All these strategies are aiming at reducing energy consumption and extend the life of the network. Results show that the proposed routing scheme outperforms two existing ones in terms of stability period, throughputs, residual energy, and the lifetime of the network.

Comparative Study of Energy Efficient Routing Protocols in Manet

Today in the world most of young researchers focused infrastructure less network is ad hoc network, especially one type of the best research temporary network is called Mobile Ad hoc Network (MANET). Mobile ad hoc network is collection of in-depended mobile nodes that able to communicate anytime anywhere in the emergency environment through wireless link with each other also every node acts as transmitter, receiver and router. This self configured infrastructure less network having some issues like traffic, delay, throughput, energy, security attacks, bandwidth and storage etc., [2] more are less energy and security attacks is very dangers issue due to dynamic nature, battery power, packet drop, misbehaviour attack, conjunction and mobility. In this research writing mainly we discussed energy issue because of when solve energy automatically network lifetime will be increased and also delivery ratio and throughput will be increased due to reduces of energy utilization, so here we discussed some of valuable research work they conclude the importance of energy efficient with help of one of leading simulation model called Network Simulator (NS2).

Comparative Study of Energy Efficient Routing Protocols in Manet

Today in the world most of young researchers focused infrastructure less network is ad hoc network, especially one type of the best research temporary network is called Mobile Ad hoc Network (MANET). Mobile ad hoc network is collection of in-depended mobile nodes that able to communicate anytime anywhere in the emergency environment through wireless link with each other also every node acts as transmitter, receiver and router. This self configured infrastructure less network having some issues like traffic, delay, throughput, energy, security attacks, bandwidth and storage etc., [2] more are less energy and security attacks is very dangers issue due to dynamic nature, battery power, packet drop, misbehaviour attack, conjunction and mobility. In this research writing mainly we discussed energy issue because of when solve energy automatically network lifetime will be increased and also delivery ratio and throughput will be increased due to reduces of energy utilization, so here we discussed some of valuable research work they conclude the importance of energy efficient with help of one of leading simulation model called Network Simulator (NS2).

Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Among the key challenges with wireless sensor networks (WSNs) is that most sensor nodes are fueled by energy-constrained batteries, which has a significant impact on the network’s efficiency, reliability, and durability. As a result, many clustering approaches have been developed to enhance the energy efficiency of WSNs. Meanwhile, fifth-generation (5G) transmissions necessitate the usage of multiple-input multiple-output (MIMO) multiple antennas in numerous Internet of Things (IoT) applications to furnish increased capacity in a multipath spectrum environment. Instead of a single senor that can facilitate better load balancing utilization, we believe to balance the energy utilization per unit area. The devices in IoT are submerged with various transmission interfaces known as MIMO in 5G networks. With MIMO being more commonly accessible on IoT devices, an effective clustering approach for rapidly evolving IoT systems is both lacking and urgently needed to support a variety of user scenarios. In this paper, we proposed the intelligent MIMO-based 5G balanced energy-efficient protocol which focuses to achieve Quality of Experience (QoE) for transmitting in clusters for IoT networks. The proposed protocol enhances the utilization of energy and lifetime of the network in which it shows 30% less energy utilized in comparison to the existing protocols.

IEESEP: an intelligent energy efficient stable election routing protocol in air pollution monitoring WSNs

IEESEP: an intelligent energy efficient stable election routing protocol in air pollution monitoring WSNs

Adaptive Secure Energy Efficiency Routing Protocol for Wireless Sensor Network

Wireless Sensor Network (WSN) is highly used in many applications for monitoring purposes. Many researchers were carried out in energy efficiency and security to improve network performance. In this research, the Adaptive Secure Energy Efficiency Routing Protocol (ASEERP) is proposed to improve security and reduce the energy consumption of the WSN. Gaussian distribution is used in this model to improve the synchronization of the model for the routing. Initialization of the node is carried out based on the residual energy of the node and neighbor node of WSN. The model routing phase transmits the data based on direct transmission and relay transmission based on path availability and distance. The direct transmission is carried out in a possible scenario to save energy in the neighbor nodes. The co-operation phase in the model helps to select the best relay based on the residual energy if the transmission is carried out based on the relay node. The source information and relay information are combined to analyze the neighbourhood information to adaptively select the optimal path in the model. The incoming packets and outgoing packets of the sensor nodes are measured to detect the attack and attack indicator estimation is used to detect the malicious node to deny access to it. The proposed ASEERP model has an energy consumption of 57 J, the existing LEACH-C model has 80 J and the SMEER model has 72 J for 600 ms time.

Galactic swarm optimized convolute network and cluster head elected energy-efficient routing protocol in WSN

Nodes in a Wireless Sensor Network (WSN) monitor and collect data in different environments. Data can be sent from one location to another using the network's spontaneous connectivity. The networks' nodes have sensing capabilities that make sending data to the sink easier. They can. Routers are used to determine the most efficient method of transmitting information between points of origin and destinations. The traditional methods focus on energy and routing to get to the sink. Nevertheless, securing systems and anticipating malicious activity are major research issues. These issues can be overcome by using an energy-efficient routing algorithm in a convolution neural network. Security and energy efficiency are considered when selecting the cluster head, in this case, Asteroids from Outer Space. To eliminate malicious activity, an optimized convolute network is used to predict whether a node is malicious or trustworthy. The network uses optimized training patterns to reduce the malicious node prediction-error rate. As a result, trusted nodes are used to determine who should be in charge of leading each cluster. This procedure ensures the network's long-term security and improves overall data transmission.

An Efficient Swift Routing Model with Node Trust Identity Factor (SRM-NTIF) to Perform Secure Data Transmission Among IoT Gadgets

According to a United Nations survey, the number of users using the internet has increased to 3 billion in recent years. The Auto-ID Center is a research organisation that coined the word "Internet of Things" (IoT) a decade ago, describing how it utilises wired or wireless networking technologies to create a channel of communication among technologies and networks available over the Internet. Despite the fact that a swing of routing protocols has been proposed in the literature, safe and energy-efficient routing protocol is still a work in progress. Many routing protocols expressly designed for resource limited wireless devices take the same approach and have nearly achieved their full improvements. The Internet of Things (IoT) has recently gained prominence as a result of the increasing number of connected devices being used in everyday human life with network lifetime constraints. Routing expertise is essential for establishing communication between nodes. A node should be capable of self-learning, self-configuring, and self-managing by gathering local knowledge and sharing it with its neighbours. The degree of trust determines the degree of cooperation between scattered mobile nodes. The term "trust" refers to a level of assurance based on node behavior. To ensure secure and proper data transmission in IoT network, the trust level of the nodes is calculated based on node behaviour. Because of the unexpected changes in the network structure, the complex existence of IoT network, and the underived prior trust relationship between the nodes, trust computation in IoT network is a difficult task. All IoT nodes willing to engage in data transmission are given a Digital Unique Identifier (DUI), and the proposed model must define their trust identity factors. Using the DUI, the proposed Swift Routing Model with Node Trust Identity Factor (SRM-NTIF) model, node authentication is performed to verify natural and malicious nodes in the network. The proposed model is compared with the traditional methods and the results show that the proposed model performance is better in security and trust levels.

The Design of Formulation of Triangulation Network Model Using Simulate Environment for Co-Operative Communication in WSN using Matlab

Abstract: Wireless Sensor Networks (WSNs) gained universal attention now a day owing to This innovative is sensing technology to incorporate an immense number sensor nodes or motes set up in an area of perceive any continuously are fluctuating physical to phenomena. These tiny sensor nodes sense and process the sensed data and transfer this information to a base station or sink via radio frequency (RF) channel. The small size of these sensors is an advantage as it can be easily embedded within any device or in any environment. This feature has attracted the use of WSNs in immense applications especially in monitoring and tracking; the most prominent being the surveillance applications. But this type of tiny sizes of sensors to nodes restricts to resourcing capabilities. Usually to WSNs are install to application area to the human intervention of quite risk and difficult. The sense information might to need to taking the critical decisions to emergency applications. So maintaining the connectivity of the network is of utmost importance. The efficient use of the available resources to the maximum extend is a necessity to prolong the network lifetime. Most of research the area of WSNs has concentrate on energy efficiency where the design of energy efficient routing protocols plays a major role. The triangulations rules were applied for 20, 50 and 100 nodes demonstration for WSNs integrated with co-operative communications.

Overview of Formulation of Triangulation Network Model Using Simulate Environment for Co-Operative Communication in WSN Using Matlab

Abstract: Wireless Sensor Networks (WSNs) gained universal attention now a day owing to This innovative is sensing technology to incorporate an immense number sensor nodes or motes set up in an area of perceive any continuously are fluctuating physical to phenomena. These tiny sensor nodes sense and process the sensed data and transfer this information to a base station or sink via radio frequency (RF) channel. The small size of these sensors is an advantage as it can be easily embedded within any device or in any environment. This feature has attracted the use of WSNs in immense applications especially in monitoring and tracking; the most prominent being the surveillance applications. But this type of tiny sizes of sensors to nodes restricts to resourcing capabilities. Usually to WSNs are install to application area to the human intervention of quite risk and difficult. The sense information might to need to taking the critical decisions to emergency applications. So maintaining the connectivity of the network is of utmost importance. The efficient use of the available resources to the maximum extend is a necessity to prolong the network lifetime. Most of research the area of WSNs has concentrate on energy efficiency where the design of energy efficient routing protocols plays a major role. The triangulations rules were applied for 20, 50 and 100 nodes demonstration for WSNs integrated with co-operative communications.

A Study of Developments in the Routing Protocols in the Wireless Ad Hoc Networks (WANET)

Abstract: A mobile ad hoc network (manet) is a new name for an obsolete system: a network that doesn't require any pre-existing architecture to function. in the early 1970s, the darpa pr net and suran Programmes were predecessors of this system. the new twitch is the application of this approach in non-military communication circumstances. in addition, the research in this field has recently focused on various advanced aspects of this technology, such as multicasting and security. there have also been a number of unique solutions to "traditional" routing and medium access control problems proposed. this study attempts to characterize the state-of-the-art of networks technology in four areas: routing, intermediate identity management, multicasting, and security. when possible, reviews of the proposed techniques are offered. As part of this research, the Fuzzy based Flexible Energy Efficient Routing protocol (FIE2R) will be presented as a routing system for WANET. The decision maker is in charge of the whole FIE2R procedure, which is separated into two parts. It is the WANET graph start phase, which aids in the second phase's determination of each route's reward. That's from a comprehensive computation of FIE2R using MATLAB and NS2 and a comparative analysis of the same with other networking schemes, the recommended protocol improves performance in terms of energy consumption. Keywords: Adhoc networks, Manet, Wanet, MATLAB. Routing schemes