scholarly journals Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifetime of Wireless Sensor Network

2018 ◽  
Vol 8 (2) ◽  
pp. 1084
Author(s):  
Hemavathi P ◽  
Nandakumar A. N.
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Dynamic Network ◽  
Cost Effective ◽  
Pso Algorithm ◽  
Wireless Sensor ◽  
Cost Effective Method ◽  
Significant Research

Clustering is one of the operations in the wireless sensor network that offers both streamlined data routing services as well as energy efficiency. In this viewpoint, Particle Swarm Optimization (PSO) has already proved its effectiveness in enhancing clustering operation, energy efficiency, etc. However, PSO also suffers from a higher degree of iteration and computational complexity when it comes to solving complex problems, e.g., allocating transmittance energy to the cluster head in a dynamic network. Therefore, we present a novel, simple, and yet a cost-effective method that performs enhancement of the conventional PSO approach for minimizing the iterative steps and maximizing the probability of selecting a better clustered. A significant research contribution of the proposed system is its assurance towards minimizing the transmittance energy as well as receiving energy of a cluster head. The study outcome proved proposed a system to be better than conventional system in the form of energy efficiency.

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 Cluster Based Approach for Detection and Protection of Wormhole Attack in Wireless Sensor Network

2019 ◽  
Vol 17 (12) ◽  
pp. 955-964
Author(s):  
Darpan Aneja ◽  
Love Kumar ◽  
Vishal Sharma
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Denial Of Service ◽  
Cluster Head ◽  
Cost Effective ◽  
Wireless Sensor ◽  
Hop Count ◽  
Wormhole Attack ◽  
Wireless Environment ◽  
Rapid Pace

Wireless Sensor Network (WSN) technology is progressing at a rapid pace and its demand is also increasing massively due to its cost-effective nature and less-challenging installation demands. However, due to its vulnerable wireless environment, WSNs are prone to various types of severely damaging attacks like wormhole, sinkhole, Denial of Service (DoS) etcetera. Therefore, it requires to be more secure and confidential to maintain the productive flow of communication between the nodes. One of the greatest threats which if placed strategically can seriously impair the network is the wormhole attack. In this paper, we proposed a cluster based technique to detect and protect WSN from wormhole attacks. The entire network is divided into clusters eventually at the end and each cluster is governed by a cluster head (CH). Based on Round Trip Time and hop count the security of the network has enhanced and nullified the wormhole attack in the network. A significant improvement in throughput, PDR, Delay has been observed and reported with proposed scheme.

Dynamic Clustering and Cluster Head Selection for Energy Optimization under Wireless Sensor Network

2018 ◽  
Vol 8 (1) ◽  
pp. 84
Author(s):  
Ravinder Singh ◽  
Rajdavinder Singh Boparai
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Long Duration ◽  
Selection For ◽  
Transmission Energy

Wireless sensor network is a field of networking that has been used for sensing information from environment.  In WSN the sensor nodes are attached to a battery for sensing information. Each node utilizes three types of energy during its lifetime over the network. These energies are sensing energy, transmission or receiving energy and idle energy. During the sensing information the nodes consumes energy and transmission energy is used to transmit a data over a distance. Idle energy is that when node is not working but remains in on state. Due to deployment of WSN in unreachable area energy is main constraint for network to be cost effective.The major issue is network lifetime that must be increase so that network performs for long duration of time and provide cost effective for an n organization. To overcome this issue various methods had been proposed, chaining, pegasis, clustering and chain head selection are one of these methods.

scholarly journals Wireless Sensor Network (WSN) Configuration Method to Increase Node Energy Efficiency through Clustering and Location Information

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 390
Author(s):  
Jinsoo Kim ◽  
Donghwan Lee ◽  
Jaejoon Hwang ◽  
Sunghoon Hong ◽  
Dongil Shin ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Research And Development ◽  
Sensor Network ◽  
Cluster Head ◽  
Base Station ◽  
Wireless Sensor ◽  
Location Information ◽  
Defense Research ◽  
Node Energy

Wireless Sensor Network (WSN) technology, for services that are difficult to access or which need to be continuously monitored regardless of location, needs further research and development due to an expansion of fields where it can be applied and due to increases in efficiency. In particular, in the field of defense, research on the latest IT technologies including sensor networks is being actively conducted as an alternative to the risky use of personnel in areas such as surveillance and surveillance reconnaissance. This paper experimented with analyzing the conditions necessary for increasing the energy efficiency of the nodes constituting a sensor network using a clustering routing technique and a location-based routing technique. The derived factors include a method for selecting a cluster head (CH), a method for establishing a path from each channel to a base station (BS), and a method for transmitting collected data. We experimented with the derived factors and proposed a WSN configuration method that increases the energy efficiency of each node by applying optimal results and methods that were verified experimentally.

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 E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

2021 ◽  
Author(s):  
Pawan Singh Mehra
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Average Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Energy Hole ◽  
Intelligent Decision ◽  
Improved Performance

AbstractWith huge cheap micro-sensing devices deployed, wireless sensor network (WSN) gathers information from the region and delivers it to the base station (BS) for further decision. The hotspot problem occurs when cluster head (CH) nearer to BS may die prematurely due to uneven energy depletion resulting in partitioning the network. To overcome the issue of hotspot or energy hole, unequal clustering is used where variable size clusters are formed. Motivated from the aforesaid discussion, we propose an enhanced fuzzy unequal clustering and routing protocol (E-FUCA) where vital parameters are considered during CH candidate selection, and intelligent decision using fuzzy logic (FL) is taken by non-CH nodes during the selection of their CH for the formation of clusters. To further extend the lifetime, we have used FL for the next-hop choice for efficient routing. We have conducted the simulation experiments for four scenarios and compared the propound protocol’s performance with recent similar protocols. The experimental results validate the improved performance of E-FUCA with its comparative in respect of better lifetime, protracted stability period, and enhanced average energy.

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