scholarly journals ECHA: A Novel Energy Efficient Cluster Head Election Algorithm to Provide Energy-Aware Routing in WSN

2019 ◽  
Vol 8 (4) ◽  
pp. 5906-5909
Keyword(s):  
Energy Efficient ◽  
Smart Grids ◽  
Geographical Area ◽  
Cluster Head ◽  
Energy Resource ◽  
Industrial Applications ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Computing Device ◽  
Energy Aware Routing

Wireless Sensor Network (WSN) is composed of several low powered, tiny and cheap sensors deployed over a geographical area to monitor the environment. WSN can be set out in various real time applications like security and surveillance, healthcare monitoring, smart grids, smart buildings, environmental monitoring and industrial applications etc. A WSN includes numerous spatially dispersed sensor nodes or motes that sense the environment, transfer them to a computing device through hoping and processes them to result in useful information. Since motes are low-powered and operate on limited energy resource, prolong usage of same nodes to transfer data may lead to network failure. Clustering provides an efficient technique to increase the longevity of network by efficiently using the residual energy in the motes. We propose a reasonable energy aware routing protocol that implements energy efficient cluster formation through Energy efficient Custer Head Election (ECHA) algorithm that increases the network performance to a greater extent.

scholarly journals EARPC – Energy Aware Routing Protocol for Cooperative MIMO Scheme in WSNs

2020 ◽  
Vol 3 ◽  
pp. 22-27
Author(s):  
Kummathi Chenna Reddy ◽  
Geetha D. Devanagavi ◽  
Thippeswamy M. N.
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Levels ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Energy Efficient Routing ◽  
Energy Aware Routing

Wireless sensor networks are typically operated on batteries. Therefore, in order to prolong network lifetime, an energy efficient routing algorithm is required. In this paper, an energy-aware routing protocol for the co-operative MIMO scheme in WSNs (EARPC) is presented. It is based on an improved cluster head selection method that considers the remaining energy level of a node and recent energy consumption of all nodes. This means that sensor nodes with lower energy levels are less likely to be chosen as cluster heads. Next, based on the cooperative node selection in each cluster, a virtual MIMO array is created, reducing uneven distribution of clusters. Simulation results show that the proposed routing protocol may reduce energy consumption and improve network lifetime compared with the LEACH protocol

scholarly journals IoT Enabled Cluster Based Energy Aware Routing Protocol In WSN

2021 ◽  
pp. 93-102
Author(s):  
Steffi R
Keyword(s):  
Energy Efficient ◽  
Network Reliability ◽  
Data Communication ◽  
Residual Energy ◽  
Efficient Solutions ◽  
Sensor Nodes ◽  
Data Delivery ◽  
Energy Aware ◽  
Hop Count ◽  
Energy Aware Routing

Because of the unpredictable nature of sensor nodes, propagating sensory data raises significant research challenges in Wireless Sensor Networks (WSNs). Recently, different cluster-based solutions are designed to improve network stability and lifetime. However, most energy-efficient solutions are developed for homogeneous networks and uses only a distance parameter for data communication. Although, some existing solutions are attempted to improve the selection of next-hop based energy factor. Nevertheless, such solutions are unstable and lack reduce data delivery interruption in overloaded links. Our proposed solution aims to develop Reliable Cluster-based Energy-aware Routing (RCER) protocol for heterogeneous WSN which lengthens network lifetime and decreases routing cost. Our proposed RCER protocol makes use of heterogeneity nodes concerning their energy and comprises of two main phases; firstly, the network field is parted in geographical clusters to make the network more energy-efficient and secondly; RCER attempts optimum routing for improving the next-hop selection by considering residual-energy, hop-count and weighted value of Round-Trip Time (RTT) factors. Moreover, RCER restores routing paths and provides network reliability with improved data delivery performance. Simulation results demonstrate significant development of RCER protocol against their competing solutions.

scholarly journals Network coding based energy efficient LEACH protocol for WSN

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
G. M. Tamilselvan Tamilselvan ◽  
K. Gandhimathi
Keyword(s):  
Network Coding ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Low Cost ◽  
Cluster Head ◽  
Energy Resource ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Energy Efficient Routing ◽  
Leach Protocol

Wireless Sensor Network (WSN) consists of low cost tiny sensor nodes with limited energy resource, so it is a tedious task to develop energy efficient routing schemes that enhances the network lifetime. In WSN, clustering is used to improve the efficiency of finite energy resource. LEACH protocol is one of the widely used clustering techniques in WSN. So, in this paper, an energy efficient LEACH protocol is designed with network coding for WSN. Initially, the clusters are formed with the LEACH protocol, where it uses the residual energy metric and drain rate to select the cluster heads.  Since network coding is an optimal technique to enhance the network performance by minimizing the number of transmissions, it is incorporated into the LEACH Protocol, where it has been applied at the cluster head levels. Furthermore, the next level of network coding is processed at a node by selecting any of the nodes as a master node. The simulation results show that the proposed scheme performs better than the EE-LEACH and LEACH protocol in terms of network lifetime, packet delivery ratio.

scholarly journals Cluster head shuffling based global optimization using elephant herd optimization (EHO) approach

2018 ◽  
Vol 7 (2.4) ◽  
pp. 39
Author(s):  
Er Sharad ◽  
Savita Shiwani ◽  
Manish Suroliya
Keyword(s):  
Global Optimization ◽  
Smart Grids ◽  
Research Work ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Wireless Nodes ◽  
Long Time ◽  
And Performance

Wireless Sensors are susceptible from frequent energy decay which leads to the reduction of lifetime of entire network scenario. Such energy loss occurring in the sensor nodes are addressed and worked out by number of researchers using number of methods including Low-energy adaptive clustering hierarchy (LEACH) and its number of variants. Despite of enormous variants of LEACH, there is still huge scope of research because of increasing use of sensor nodes in assorted scenarios. The development of energy aware wireless sensor networks is in research from a long time because of the increasing issues related to lesser lifetime of nodes in the wireless environment. The traditional lifetime of wireless nodes even in smart grids is 835 days while the other wireless nodes die in maximum 30 days. Many times, the battery time of wireless sensor nodes is very few days which is a costly affair. It is difficult and cost consuming to redeploy the wireless nodes to reform the network and cost of clustering. In this research work, a novel and performance aware approach Elephant Herd Optimization based Cluster Head Selection is developed and implemented so that the optimization level can be improved. The nature inspired soft computing approaches are prominently used for global optimization and reduction of error factors from existing results and that is the key focus in this research work.

scholarly journals Energy Efficient Inter And Intra Cluster Movement of Mobile Sink In Wireless Sensor Network

2019 ◽  
Vol 8 (6) ◽  
pp. 2682-2688
Keyword(s):  
Energy Efficient ◽  
Smart Grids ◽  
Network Performance ◽  
Smart Cities ◽  
Sewage Treatment ◽  
Cluster Head ◽  
Mobile Sink ◽  
Sensor Nodes ◽  
Sewage Treatment Plants ◽  
Stability Period

WSN has brought revolution in monitoring or examining the particular area of the network. It has acquired many sectors like agricultural sectors, smart cities (Smart grids, Sewage treatment plants) and automation industries etc. the most prominent concern of battery of the sensor nodes are reported to deal with the energy efficient solution but still there is a lot of scope in enhancing the network performance of the WSN. The sink mobility in a controlled scenario with optimized Cluster head selection after every round using PSO has improved the network performance. The proposed scheme beats the ICM in terms of stability period, lifetime and half node dead. Stability Period, Half Node Dead and Network lifetime has increased by 19.8%, 42.1% and 37% respectively. Standard average coverage time decreases with increase in network area size.

Distributed Entropy Energy-Efficient Clustering algorithm for cluster head selection (DEEEC)

2020 ◽  
Vol 39 (6) ◽  
pp. 8139-8147
Author(s):  
Ranganathan Arun ◽  
Rangaswamy Balamurugan
Keyword(s):  
Energy Efficient ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Second Stage ◽  
Energy Efficient Clustering ◽  
Two Stages ◽  
Ch Selection

In Wireless Sensor Networks (WSN) the energy of Sensor nodes is not certainly sufficient. In order to optimize the endurance of WSN, it is essential to minimize the utilization of energy. Head of group or Cluster Head (CH) is an eminent method to develop the endurance of WSN that aggregates the WSN with higher energy. CH for intra-cluster and inter-cluster communication becomes dependent. For complete, in WSN, the Energy level of CH extends its life of cluster. While evolving cluster algorithms, the complicated job is to identify the energy utilization amount of heterogeneous WSNs. Based on Chaotic Firefly Algorithm CH (CFACH) selection, the formulated work is named “Novel Distributed Entropy Energy-Efficient Clustering Algorithm”, in short, DEEEC for HWSNs. The formulated DEEEC Algorithm, which is a CH, has two main stages. In the first stage, the identification of temporary CHs along with its entropy value is found using the correlative measure of residual and original energy. Along with this, in the clustering algorithm, the rotating epoch and its entropy value must be predicted automatically by its sensor nodes. In the second stage, if any member in the cluster having larger residual energy, shall modify the temporary CHs in the direction of the deciding set. The target of the nodes with large energy has the probability to be CHs which is determined by the above two stages meant for CH selection. The MATLAB is required to simulate the DEEEC Algorithm. The simulated results of the formulated DEEEC Algorithm produce good results with respect to the energy and increased lifetime when it is correlated with the current traditional clustering protocols being used in the Heterogeneous WSNs.

Quasi Oppositional Glowworm Swarm Optimization Algorithm for Energy Efficient Clustering in Wireless Sensor Networks

2020 ◽  
Vol 17 (12) ◽  
pp. 5447-5456
Author(s):  
R. M. Alamelu ◽  
K. Prabu
Keyword(s):  
Energy Efficient ◽  
Cluster Head ◽  
Residual Energy ◽  
Link Quality ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Node Degree ◽  
Swarm Optimization ◽  
Glowworm Swarm Optimization ◽  
Energy Efficient Clustering

Wireless sensor network (WSN) becomes popular due to its applicability in distinct application areas like healthcare, military, search and rescue operations, etc. In WSN, the sensor nodes undergo deployment in massive number which operates autonomously in harsh environment. Because of limited resources and battery operated sensor nodes, energy efficiency is considered as a main design issue. To achieve, clustering is one of the effective technique which organizes the set of nodes into clusters and cluster head (CH) selection takes place. This paper presents a new Quasi Oppositional Glowworm Swarm Optimization (QOGSO) algorithm for energy efficient clustering in WSN. The proposed QOGSO algorithm is intended to elect the CHs among the sensor nodes using a set of parameters namely residual energy, communication cost, link quality, node degree and node marginality. The QOGSO algorithm incorporates quasi oppositional based learning (QOBL) concept to improvise the convergence rate of GSO technique. The QOGSO algorithm effectively selects the CHs and organizes clusters for minimized energy dissipation and maximum network lifetime. The performance of the QOGSO algorithm has been evaluated and the results are assessed interms of distinct evaluation parameters.

Performance study and critical review on energy aware routing protocols in mobile sink based WSNs

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Aparna Ashok Kamble ◽  
Balaji Madhavrao Patil
Keyword(s):  
Wireless Networks ◽  
Energy Consumption ◽  
Routing Protocols ◽  
Mobile Sink ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Optimization Approach ◽  
Performance Study ◽  
Energy Aware ◽  
Energy Aware Routing

Abstract Wireless networks involve spatially extended independent sensor nodes, and it is associated with each other’s to preserve and identify physical and environmental conditions of the particular application. The sensor nodes batteries are equipped with restricted energy for working with an energy source. Consequently, efficient energy consumption is themain important challenge in wireless networks, and it is outfitted witharestricted power storage capacity battery. Therefore, routing protocol with energy efficiency is essential in wireless sensor network (WSN) to offer data transmission and connectivity with less energy consumption. As a result, the routing scheme is the main factor for decreasing energy consumption and the network's lifetime. The energy-aware routing model is mainly devised for WSN with high network performance when transmitting data to a sink node. Hence, in this paper, the effectiveness of energy-aware routing protocols in mobile sink-based WSNs is analyzed and justified. Some energy-aware routing systems in mobile sink-based WSN techniques, such as optimizing low-energy adaptive clustering hierarchy (LEACH) clustering approach, hybrid model using fuzzy logic, and mobile sink. The fuzzy TOPSIS-based cluster head selection (CHS) technique, mobile sink-based energy-efficient CHS model, and hybrid Harris Hawk-Salp Swarm (HH-SS) optimization approach are taken for the simulation process. Additionally, the analytical study is executed using various conditions, like simulation, cluster size, nodes, mobile sink speed, and rounds. Moreover, the performance of existing methods is evaluated using various parameters, namely alive node, residual energy, delay, and packet delivery ratio (PDR).

Research on Energy Aware Routing for Wireless Sensor Networks

2013 ◽  
Vol 303-306 ◽  
pp. 191-196
Author(s):  
Wei Zhang ◽  
Ling Hua Zhang
Keyword(s):  
Energy Consumption ◽  
Optimal Path ◽  
Critical Issue ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Energy Aware Routing ◽  
Transmission Energy Consumption ◽  
Transmission Energy ◽  
Improved Algorithm

Energy aware routing is a critical issue in WSN. Prior work in energy aware routing concerned about transmission energy consumption and residual energy, but often do not consider path hop length, which leads to unnecessary consumption of power at sensor nodes. Improved algorithm adds the control of routing hops. Simulation proof the improved algorithm is feasible, effectively reducing the network delay and the path of energy consumption. Taking into account the WSN is dynamic, in the end we put up dynamic hops control in order to adapt to WSN and select the optimal path.

scholarly journals Energy Consumption Based Low Energy Aware Gateway (LEAG) Protocol in Wireless Sensor Networks

2019 ◽  
Vol 8 (5S3) ◽  
pp. 128-132 ◽  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Cluster Head ◽  
Base Station ◽  
Low Energy ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware

Wireless Sensor Networks (WSN) consists of a large amount of nodes connected in a self-directed manner. The most important problems in WSN are Energy, Routing, Security, etc., price of the sensor nodes and renovation of these networks is reasonable. The sensor node tools included a radio transceiver with an antenna and an energy source, usually a battery. WSN compute the environmental conditions such as temperature, sound, pollution levels, etc., WSN built the network with the help of nodes. A sensor community consists of many detection stations known as sensor nodes, every of which is small, light-weight and portable. Nodes are linked separately. Each node is linked into the sensors. In recent years WSN has grow to be an essential function in real world. The data’s are sent from end to end multiple nodes and gateways, the data’s are connected to other networks such as wireless Ethernet. MGEAR is the existing mechanism. It works with the routing and energy consumption. The principal problem of this work is choosing cluster head, and the selection is based on base station, so the manner is consumes energy. In this paper, develop the novel based hybrid protocol Low Energy Aware Gateway (LEAG). We used Zigbee techniques to reduce energy consumption and routing. Gateway is used to minimize the energy consumption and data is send to the base station. Nodes are used to transmit the data into the cluster head, it transmit the data into gateway and gateway compress and aggregate the data then sent to the base station. Simulation result shows our proposed mechanism consumes less energy, increased throughput, packet delivery ration and secure routing when compared to existing mechanism (MGEAR).

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