scholarly journals HIWAEO: Hybrid Improved Whale Artificial Ecosystem Optimization Algorithm based Energy-Efficient Routing Protocol for Wireless Sensor Network

2021 ◽  
Author(s):  
R. Renuga Devi ◽  
T. Sethukarasi
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Life Span ◽  
Sensor Network ◽  
Energy Efficient ◽  
Fitness Function ◽  
Residual Energy ◽  
The Other ◽  
Sensor Nodes ◽  
Wireless Sensor

Abstract Wireless Sensor Network (WSN) is a resource constraint network that utilizes more energy for transmitting and receiving the data. Hence energy efficiency is the vital issue faced by the WSN. Besides the packet routing process consumes more energy than the other processes. Moreover, the working of WSN is based on the battery life span of sensor nodes. Thus the constrained energy source affects the life span of the network battery. To tackle this issue, we proposed a novel method known as the Hybrid Improved Whale optimization-based Artificial Ecosystem optimization method (HIWAEO). This enhances the energy efficiency of the WSN and thereby improves the routing of the network. The energy-efficient WSN can be obtained by selecting optimal cluster head (CH) and forward nodes. To select the optimal CH the proposed method estimates the fitness function which includes node degree, space between the sensor nodes and space between the CH and base station (BS), residual energy, and node centrality. This estimated fitness function arranges the sensor nodes based on their increased energy and distance from the BS and the best node is chosen as the CH. Henceforth to obtain the routing efficiency the forward nodes are selected based on their residual energy and distance. The performance of the proposed method is analyzed with the other existing approaches for three conditions of BS alignment and concluded that our proposed method outperforms all the other approaches.

scholarly journals Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Santosh V. Purkar ◽  
R. S. Deshpande
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Performance Parameters ◽  
Clustering Protocol ◽  
Heterogeneous Wireless Sensor Network ◽  
Energy Efficient Clustering

Heterogeneous wireless sensor network (HWSN) fulfills the requirements of researchers in the design of real life application to resolve the issues of unattended problem. But, the main constraint faced by researchers is the energy source available with sensor nodes. To prolong the life of sensor nodes and thus HWSN, it is necessary to design energy efficient operational schemes. One of the most suitable approaches to enhance energy efficiency is the clustering scheme, which enhances the performance parameters of WSN. A novel solution proposed in this article is to design an energy efficient clustering protocol for HWSN, to enhance performance parameters by EECPEP-HWSN. The proposed protocol is designed with three level nodes namely normal, advanced, and super, respectively. In the clustering process, for selection of cluster head we consider different parameters available with sensor nodes at run time that is, initial energy, hop count, and residual energy. This protocol enhances the energy efficiency of HWSN and hence improves energy remaining in the network, stability, lifetime, and hence throughput. It has been found that the proposed protocol outperforms than existing well-known LEACH, DEEC, and SEP with about 188, 150, and 141 percent respectively.

scholarly journals Energy Efficient Wireless Sensor Network Modelling Based on Complex Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Lin Xiao ◽  
Fahui Wu ◽  
Dingcheng Yang ◽  
Tiankui Zhang ◽  
Xiaoya Zhu
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Complex Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Small World ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Normal Operation ◽  
Sink Node

The power consumption and energy efficiency of wireless sensor network are the significant problems in Internet of Things network. In this paper, we consider the network topology optimization based on complex network theory to solve the energy efficiency problem of WSN. We propose the energy efficient model of WSN according to the basic principle of small world from complex networks. Small world network has clustering features that are similar to that of the rules of the network but also has similarity to random networks of small average path length. It can be utilized to optimize the energy efficiency of the whole network. Optimal number of multiple sink nodes of the WSN topology is proposed for optimizing energy efficiency. Then, the hierarchical clustering analysis is applied to implement this clustering of the sensor nodes and pick up the sink nodes from the sensor nodes as the clustering head. Meanwhile, the update method is proposed to determine the sink node when the death of certain sink node happened which can cause the paralysis of network. Simulation results verify the energy efficiency of the proposed model and validate the updating of the sink nodes to ensure the normal operation of the WSN.

scholarly journals Research Trends in Energy-Efficient Routing Protocols for Wireless Sensor Network

2020 ◽  
Vol 9 (5) ◽  
pp. 425-431
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing

The technological advances in wireless communication systems and digital data processing techniques has given rise to many innovative intelligent networks. One such network is wireless sensor network (WSN). In recent past, huge growth has been perceived in the applications of WSN. In wireless sensor network, the battery powered sensor nodes are scattered in a monitoring area and it is impossible to replace the batteries of sensor nodes after deployment. Therefore, energy efficiency remains a prime concern in design of WSNs. The routing protocols help to find energy efficient routes and increases the lifetime of WSNs. The cluster-based routing techniques play an important role in design of energy efficient WSNs. However, authors analyzed two types of sensor networks in the literature such as homogeneous and heterogeneous networks. In homogeneous clustering, all sensor nodes possess same level of initial energy and cluster head (CH) formation probability of each node in such networks remains equal. In heterogeneous clustering, the nodes are bifurcated into three energy levels such as normal node, advanced node and super node. Therefore, the CH formation probability of a node in such network depends on the type of node. This paper presented a survey on recent energy efficient routing protocols in homogeneous as well as heterogeneous wireless sensor networks. The energy efficient routing protocols are classified based on some quality of service (QoS) metrics such as energy efficiency, network lifetime, network stability, cluster head selection threshold and heterogeneity levels.

A Reliable Energy Efficient Wireless Sensor Network Hierarchical Routing Algorithm

2013 ◽  
Vol 475-476 ◽  
pp. 569-572
Author(s):  
Kai Guo Qian ◽  
Lin Ou
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Hierarchical Routing

The existing clustering protocols exists shortages that the nodes with small residual energy may be choose as cluster nodes, which communicate directly with sink causes more energy consumption. Member nodes transmit data directly to cluster head also caused more energy consumption. A reliable energy efficient wireless sensor network hierarchical routing algorithm (REHRA) is proposed to further improve energy efficiency. It introduces residual energy factor for election of heads that makes nodes with more residual energy priority become heads. The data transmission for heads to sink uses flooding algorithm that ensures reliability. Routing tree is formed within local cluster and data delivers from leaf nodes to the cluster head. Performance analysis and simulation experiment shows that the new algorithm provides higher energy efficiency and longer lifetime.

scholarly journals Improving the lifetime of Wireless Sensor Network through Energy Proficient AODV Protocol

2019 ◽  
Vol 8 (6) ◽  
pp. 3016-3020
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Comparison ◽  
Power Amplification ◽  
Battery Power ◽  
Aodv Protocol

Wireless Sensor Network (WSN) is an emerging technology, which enables new innovative trends and equipments to resolve the issues of current and future world. The WSN is a combination of tiny sensor nodes equipped with a minimal battery power, mini processor and a RAM. The battery is non-rechargeable in nature and thus the need for energy efficiency becomes a vital task for WSN. This paper deals with improving the energy efficiency through Energy Proficient AODV protocol (EP-AODV). The proposed work utilizes minimal energy, power amplification and efficient routing technique to improve lifetime of the network. Comparison of EP-AODV with other existing schemes, EP-AODV achieves better throughput, energy efficient, First-Nod-Dies ratio and so on. Thus, the proposed EP-AODV protocol achieves better energy efficient protocol for WSN.

scholarly journals EEWES: an energy-efficient wireless sensor network embed-ded system to be applied on industrial environments

2015 ◽  
Vol 35 (2) ◽  
pp. 67-73 ◽  
Author(s):  
Felipe Denis Mendonça de Oliveira ◽  
Rodrigo Soares Semente ◽  
Jefferson Doolan Fernandes ◽  
Tálison Augusto Correia de Melo ◽  
Serafim Do Nascimento Júnior ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Embedded System ◽  
Sensor Network ◽  
Energy Efficient ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Maintenance Cost ◽  
Industrial Environments

<p class="Abstractandkeywordscontent"><span lang="EN-US">Nowadays, the vast majority of information monitoring in industrial plants is still carried out by wired technologies, in which the installation and maintenance cost is high. However, in outdoor applications, such as those used in the oil and gas industry, the use of Wireless Sensor Networks (WSN) is increasing due to mobility, reliability, and low cost of the sensor nodes that make up the network. Moreover, this solution reduces the risks of workers in classified areas (regions with high probability of accidents occurrence) to the extent that the equipment maintenance is optimized.  This paper proposes the development of the EEWES, an energy efficient wireless sensor network embedded system, which can be applied on industrial environments. This development approach significantly reduces the energy consumption of the sensor nodes by using a method that alternates sleep periods of the transceiver/sensor set with data transmission/reception periods, which reduces the duty cycle while keeping the desirable parameters of the service quality (QoS). The results presented in this paper will be confirmed by field tests.</span></p>

Energy-Efficient Technique for Monitoring of Agricultural Areas with Terrestrial Wireless Sensor Networks

2019 ◽  
Vol 29 (09) ◽  
pp. 2050141 ◽  
Author(s):  
Muhammed Enes Bayrakdar
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Fading Channels ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Efficient Manner

In this paper, a monitoring technique based on the wireless sensor network is investigated. The sensor nodes used for monitoring are developed in a simulation environment. Accordingly, the structure and workflow of wireless sensor network nodes are designed. Time-division multiple access (TDMA) protocol has been chosen as the medium access technique to ensure that the designed technique operates in an energy-efficient manner and packet collisions are not experienced. Fading channels, i.e., no interference, Ricean and Rayleigh, are taken into consideration. Energy consumption is decreased with the help of ad-hoc communication of sensor nodes. Throughput performance for different wireless fading channels and energy consumption are evaluated. The simulation results show that the sensor network can quickly collect medium information and transmit data to the processing center in real time. Besides, the proposed technique suggests the usefulness of wireless sensor networks in the terrestrial areas.

An Energy Efficiency Task Allocation Method Based on Reasoning Model in Wireless Sensor Network

2011 ◽  
Vol 268-270 ◽  
pp. 440-445
Author(s):  
Wang Lan Tian ◽  
Hong Yan Lei
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Task Allocation ◽  
Energy Efficient ◽  
Negotiation Process ◽  
Energy Threshold ◽  
Wireless Sensor ◽  
Level Energy ◽  
Allocation Model

In this paper, a reasoning model is proposed for energy efficiency task allocation in wireless sensor network. The presented energy efficient contract net protocol is used to implement the negotiation process. Multi-issue scoring function can evaluate the offer with multi-issues in a quantifiable way. An energy threshold is brought to decrease communications which will turn out to decrease nodes’ energy consumption. And the usage of energy threshold also promote the nodes with high level energy have more chance to implement tasks. The simulation results show that the allocation model has outstanding performance maintaining a fair energy balance and is energy efficient in negotiation process.

scholarly journals Energy Holes Minimization with Enhanced AEIAWSNHP Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 2929-2933
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Assessment Method ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Identification Algorithm ◽  
Identification Procedure ◽  
Location Sensor ◽  
Speed Method

The developments of wireless sensor network are motivated by many applications. It needs the Sensor nodes location. Sensor nodes are based primarily for identification procedure to resolve their significant position. In general, Sensor nodes are capable of some restricted power supply. As a result for detecting the power of sensor nodes an Identification algorithm is used by wireless sensor network. An Efficient Identify Algorithm for Wireless Sensor Networks with High Precession (AEIAWSNHP) is one efficient energy identification algorithm that has been proposed recently. In this work we examine the blow of using three techniques through the improvement of AEIAWSNHP in civilizing the energy efficient of enhanced AEIAWSNHP.At first, a Distinct-assessment Method, where a node estimate its location simply at one time. Secondly, active power manages; in this place the mention nodes decrease their communication power according to the gap to the node that transmits the position requirements. Third, an addition and expanding request speed method, that regulate the frequentness of dispatching the locate inquiry. The simulation result present that the new technique decreases the power utilization of the updated AEIAWSNH, Accuracy of the location assessment remains unchanged.

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