scholarly journals Energy Aware Hierarchal Data Aggregation and Trust Based Data Integrity Verification for WSN

2021 ◽  
Vol 58 (1) ◽  
pp. 5637-5643
Author(s):  
Masthan Ali A.H, Ali Ahammed G.F, Reshman Banu
Keyword(s):  
Data Aggregation ◽  
Cluster Formation ◽  
Cluster Head ◽  
Data Integrity ◽  
Residual Energy ◽  
Optimal Number ◽  
Energy Aware ◽  
Trust Mechanism ◽  
Normal Node ◽  
Wide Range

Currently the demand of wireless sensor networks has gained huge attraction due to its wide range of applications. Generally, these nodes are equipped with limited power resource and deployed in harsh environment where replacing these resources is a tedious task. Due to these issues, minimizing the energy consumption is a prime task to prolong the network lifetime. To overcome the challenging issue of data aggregation we introduced a novel combined mechanism which performs clustering and trust computing process to improve the data aggregation. According to this scheme, we arrange the nodes as normal node, advanced node and super nodes based on their residual energy parameters. The proposed model uses hierarchal scheme where we present a new mechanism for optimal number of cluster formation and cluster head selection. After selecting the cluster head, we apply trust computation scheme which provides sensing trust, link trust and node trust. The node trust is computed as direct and indirect trust. This trust mechanism is used as hop-by-hop manner to maintain he data integrity. The experimental study shows that proposed approach achieves better performance and maintains the security aspects of WSN.  

A Low Energy MCL-Based Clustering Routing Protocol for Wireless Sensor Networks

2021 ◽  
Vol 10 (1) ◽  
pp. 70-95
Author(s):  
Mohammed Taieb Brahim ◽  
Houda Abbad ◽  
Sofiane Boukil-Hacene
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Cluster Formation ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Selection Strategy ◽  
Main Challenge ◽  
Wide Range

Wireless sensor networks (WSNs) have attracted increasing attention during the two last decades. Indeed, their applications target a wide range of fields such as healthcare, industrial control, environmental monitoring, etc. The main challenge of WSNs is the limitation of resources requiring efficient management of energy consumption. Coverage is also considered as one of the critical indicators of the quality of service (QoS) of WSNs. Therefore, the design of routing protocols should focus on energy efficiency and network coverage. In this paper, the authors propose a novel energy-efficient clustering protocol that is more efficient than some prominent routing protocols and offers better coverage of the network than LEACH. The protocol combines the MCL algorithm for cluster formation and a new cluster head selection strategy based on location and residual energy of sensors. Simulation results demonstrate that the proposed protocol is better than other protocols in terms of energy management and extending the lifetime of the network, whereas, it achieves good coverage than LEACH.

scholarly journals Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Inam Ullah Khan ◽  
Muhammad Abul Hassan ◽  
Mohammad Dahman Alshehri ◽  
Mohammed Abdulaziz Ikram ◽  
Hasan J. Alyamani ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Residual Energy ◽  
Base Station ◽  
Rapid Decline ◽  
Energy Aware ◽  
Remote Communication ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Hoc Networks ◽  
High Level

In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regarding health and transfer it to a base station. Furthermore, the unbalanced energy usage of flying things will result in earlier mission failure and a rapid decline in network lifespan. This study describes the use of each UAV’s residual energy level to ensure a high level of safety using an ant-based routing technique called AntHocNet. In health care, the use of IoT-assisted aerial vehicles would increase operational performance, surveillance, and automation optimization to provide a smart application of flying IoT. Apart from that, aerial vehicles can be used in remote communication for treatment, medical equipment distribution, and telementoring. While comparing routing algorithms, simulation findings indicate that the proposed ant-based routing protocol is optimal.

Energy capable clustering method for extend the duration of IoT based mobile wireless sensor network with remote nodes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Giji Kiruba ◽  
Benita
Keyword(s):  
Cluster Formation ◽  
Clustering Algorithms ◽  
Cluster Head ◽  
Average Energy ◽  
Energy Performance ◽  
Residual Energy ◽  
Clustering Approach ◽  
Study Methodology ◽  
Mobile Wireless Sensor ◽  
Local Average

Abstract The energy performance of IoT-MWSNs may be augmented by using a suitable clustering technique for integrating IoT sensors. Clustering, on the other hand, requires additional overhead, such as determining the cluster head and cluster formation. Environmental Energy Attentive Clustering with Remote Nodes is a unique environmental energy attentive clustering approach for IoT-MWSNs proposed in this study methodology (E2ACRN). Cluster head (CH) in E2ACRN is entirely determined by weight. The residual energy of each IoT sensor and the local average energy of all IoT sensors in the cluster are used to calculate the weight. Inappropriately planned allocated clustering techniques might result in nodes being too far away from CH. These distant nodes communicate with the sink by using more energy. The ambient average energy, remoteness among IoT sensors, and sink are used to determine whether a distant node transmits its information to a CH in the previous cycle or to sink in order to lengthen lifetime. The simulation results of the current technique revealed that E2ACRN performs better than previous clustering algorithms.

An Energy Aware Routing Algorithm for WSNs Based on Semi-Static Clustering

2015 ◽  
Vol 752-753 ◽  
pp. 1413-1418
Author(s):  
Tao Du ◽  
Qing Bei Guo ◽  
Kun Zhang ◽  
Kai Wang
Keyword(s):  
Energy Efficiency ◽  
Large Scale ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Hierarchical Routing ◽  
Static Clustering

Energy efficiency is a key factor to improve WSNs’ performance, and hierarchical routing algorithms are fitter in large scale networks and have more reliability, so they are mostly used to improve the nodes’ energy efficiency now. In this paper, mainly existing hierarchical routing algorithms are introduced, and based on these researches, a new energy efficient hierarchical routing algorithm designed based on energy aware semi-static clustering method is proposed. In this algorithm named EASCA, the nodes’ residual energy and cost of communication would both be considered when clustering. And a special packet head is defined to update nodes’ energy information when transmitting message; to rotate cluster head automatically, a member management scheme is designed to complete this function; and a re-cluster mechanism is used to dynamic adjust the clusters to make sensor nodes organization more reasonable. At last, EASCA is compared with other typical hierarchical routing algorithms in a series of experiments, and the experiments’ result proves that EASCA has obviously improved WSNs’ energy efficiency.

scholarly journals A new modification of LEACH for efficient energy in WSN

2020 ◽  
Vol 20 (3) ◽  
pp. 1495
Author(s):  
Taous Lechani ◽  
Victor Tourtchine ◽  
Said Amari
Keyword(s):  
Energy Consumption ◽  
Cluster Formation ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Coverage Area ◽  
Efficient Energy ◽  
Random Cluster ◽  
Leach Protocol ◽  
Virtual Grid

<p>The limited energy of nodes in wireless sensor networks and the<br />impossibility of replacing their batteries, have lead to protocols development<br />which optimize and balance the energy consumption over the network.<br />LEACH is the most used hierarchical protocol. However, one major<br />weakness of the LEACH protocol lies in both of its random cluster formation<br />and cluster head election. In this paper, we present two new protocols based<br />virtual grid clustering on coverage area. In the first one, sensing area is<br />devided into grids as squares named as VSG-LEACH and in the second one<br />into grids as hexagons named as VHG-LEACH. In each zone, one cluster<br />head is elected according to its residual energy and its distance from the cell<br />center. The simulation results show that the network lifetime is prolonged by<br />169.67% and the energy consumption is improved by 80.97% compared to<br />LEACH protocol.</p>

Certain Investigation on Secured Data Transmission in Wireless Sensor Networks

2020 ◽  
pp. 1372-1385
Author(s):  
P. Padmaja ◽  
G.V. Marutheswar
Keyword(s):  
Data Aggregation ◽  
Energy Efficient ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Trust Value ◽  
Security Issues ◽  
Deviation Factor ◽  
Simulation Results ◽  
Secured Data

Wireless Sensor Network (WSN) need to be more secure while transmitting data as well as should be deployed properly to reduce redundancy and energy consumption. WSNs suffer from many constraints, including low computation capability, small memory, limited energy resources, susceptibility to physical capture and the use of insecure wireless communication channels. These constraints make security in WSNs a challenge. In this paper, a survey of security issues in WSNs is presented and a new algorithm TESDA is proposed, which is an optimized energy efficient secured data aggregation technic. The cluster head is rotated based on residual energy after each round of aggregation so that network lifetime increases. Based on deviation factor calculated, the trust weight is assigned, if more deviation, then the trust value is less. Simulation results observed by using NS-2. From network animator and x-graphs the result are analyzed. Among all protocols tesda is an energy efficient secured data aggregation method.

Energy Efficient Cluster-based Routing using Hybrid Approach of Fuzzy and Ida-Star for Wireless Sensor Networks

2021 ◽  
Author(s):  
Mohaideen Pitchai K
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Cluster Formation ◽  
Hybrid Approach ◽  
Cluster Head ◽  
Residual Energy ◽  
The Other ◽  
Cluster Head Selection

Abstract Appropriate cluster head selection can significantly reduce energy consumption and enhance the lifetime of the WSN. The choice of cluster heads, which is a pivotal step in the cluster-based algorithm, can seriously influence the performance of the clustering algorithm. Under normal circumstances, whether a node can be a cluster head or not depends not only on its energy level but also on the other factors such as energy consumption, channel lost, neighbor density, etc. In this sense, the selection of the cluster head can be regarded as a multiple criteria decision-making issue. This paper presents an Energy efficient Cluster Head selection using Fuzzy Logic (ECHFL) protocol, which combines the approaches of the fuzzy and IDA-star algorithm. This protocol selects the appropriate cluster head by using fuzzy inference rules. It uses three parametric descriptors such as residual energy, expected residual energy, and node centrality for the cluster formation and cluster head selection processes. These parameters contribute mainly for avoiding over-dissipation of energy in the network by selecting the suitable cluster head for the network. This protocol shows how fuzzy logic can be used in the cluster formation process to distribute the tasks and energy consumption over all the nodes. As a summary, the proposed protocol gives good performance results in comparison with the other protocols.

scholarly journals E-FLEACH: An Improved Fuzzy Based Clustering Protocol for Wireless Sensor Network

2021 ◽  
Vol 17 (2) ◽  
pp. 190-197
Author(s):  
Enaam Al-Husain ◽  
Ghaida Al-Suhail
Keyword(s):  
Network Lifetime ◽  
Fuzzy Logic Controller ◽  
Cluster Head ◽  
Residual Energy ◽  
Base Station ◽  
Optimal Number ◽  
Wireless Sensor ◽  
Clustering Protocol ◽  
Leach Protocol ◽  
Selection Of

Clustering is one of the most energy-efficient techniques for extending the lifetime of wireless sensor networks (WSNs). In a clustered WSN, each sensor node transmits the data acquired from the sensing field to the leader node (cluster head). The cluster head (CH) is in charge of aggregating and routing the collected data to the Base station (BS) of the deployed network. Thereby, the selection of the optimum CH is still a crucial issue to reduce the consumed energy in each node and extend the network lifetime. To determine the optimal number of CHs, this paper proposes an Enhanced Fuzzy-based LEACH (E-FLEACH) protocol based on the Fuzzy Logic Controller (FLC). The FLC system relies on three inputs: the residual energy of each node, the distance of each node from the base station (sink node), as well as the node’s centrality. The proposed protocol is implemented using the Castalia simulator in conjunction with OMNET++, and simulation results indicate that the proposed protocol outperforms the traditional LEACH protocol in terms of network lifetime, energy consumption, and stability.

A Hybrid Optimization Algorithm on Cluster Head Selection to Extend Network Lifetime in WSN

2020 ◽  
pp. 7-18
Author(s):  
Sim Sze Yin ◽  
Yoni Danieli
Keyword(s):  
Network Lifetime ◽  
Optimization Algorithm ◽  
Data Dissemination ◽  
Cluster Head ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Cluster Head Selection ◽  
Energy Aware ◽  
Hybrid Optimization Algorithm ◽  
Energy Sensor

Wireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the data from the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highly difficult during adverse situations. This limitation of sensor nodes greatly crumbles the network lifetime to a maximum degree and degrades the level of reliable data dissemination. In this paper, a Novel Individual Updating Strategies-based Hybrid Elephant Herding Optimization Algorithm (NIUS-HEHOA) is planned for facilitating energy balanced cluster head selection for the objective of extending the network lifetime. It included energy-aware optimization process during the clustering schemes, since it is considered as a solution to the significant NP complete optimization problem. It is propounded as a swarm intelligent algorithms are identified to be the most applicable candidate for energy optimization that leads to significant improvement in network lifetime. It is contributed to maintain the deviation between exploitation and exploration such that least potential sensor nodes are prevented from being chosen as cluster heads. The simulation experiments confirmed that the proposed NIUSHEHOA scheme is better than the benchmarked schemes in terms of alive nodes, dead nodes, residual energy, network lifetime and throughput.

scholarly journals Integrated data aggregation with fault-tolerance and lifetime energy-aware adaptive routing in coffee plantations using WSNs

2021 ◽  
Vol 24 (1) ◽  
pp. 376
Author(s):  
Roshan Zameer Ahmed ◽  
Sravani K. ◽  
Shilpa S. Chaudhari ◽  
S. Sethu Selvi ◽  
S. L. Gangadharaiah
Keyword(s):  
Data Aggregation ◽  
Adaptive Routing ◽  
Stem Borer ◽  
Residual Energy ◽  
Base Station ◽  
Exit Point ◽  
Energy Aware ◽  
Coffee Plantations ◽  
Control Overhead ◽  
And Control

The pest namely coffee white stem borer (CWSB) has harmed the economic progress of many emerging countries as a result of arabica coffee’s agricultural products. The boring activity causes the stem to shrink, fade in color, and acquire translucent margins across the stem. The pest multiplier can be controlled by capturing the location with the utilization of a wireless sensor networks (WSNs) and blocking its exit point at the user end. In this work, we propose an integrated data aggregation with faulttolerance and lifetime energy-aware adaptive routing (IDALAR) approach to transfer the sensed pest location data. The efficient packet format and statistical models based routing between clusterheads (CHs) and base station (BS) is proposed considering the availability of resources such as message overhead, algorithmic complexity, residual energy, and control overhead are all used to calculate its performance.

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