Improvement of network lifetime performance using load balancing clustering and super clustering approach

In a mobile adhoc network (MANET), energy efficiency and mobility prediction are the two main challenging design issues due to the mobile nature of the nodes in any direction with limited battery lifetime, thus leads to adequate topology modifications. These two issues are mainly considered to maximize the lifetime of MANET. Load-balancing and reliable data transmission among the mobile nodes is mandatory to increase the network lifetime. To achieve this, clustering techniques can be employed to minimize the topology size and to aggregate the details related to the topology. In this paper, we introduce a new clustering based distributed load balancing (D-CALB) algorithm to maximize energy efficiency and network lifetime. Furthermore, a fault tolerant feature is included in the D-CALB algorithm, which maintains a secondary CH as a backup node in case of the failure of the present CH. The presented ZXCD- CALB algorithm has undergone an extensive set of experimentation under a varying number of nodes and speed. The detailed investigation of the experimental results verified the superior nature of the presented D-CALB algorithm over compared ones under several measures.

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Zone-based Energy Efficient Routing Protocols for Wireless Sensor Networks

Scalable Computing Practice and Experience ◽

10.12694/scpe.v20i1.1432 ◽

2019 ◽

Vol 20 (1) ◽

pp. 55-70

Author(s):

Rajan Sharma ◽

Balwinder Singh Sohi ◽

Nitin Mittal

Keyword(s):

Energy Consumption ◽

Load Balancing ◽

Network Lifetime ◽

Energy Efficient ◽

Residual Energy ◽

Total Energy Consumption ◽

Energy Efficient Routing ◽

Phase Zone ◽

Zone Formation ◽

Competitive Algorithms

This paper proposes a novel zone or grid-based network deployment framework for energy efficient selection and reselection process of Zone-Head (ZH) in the WSNs. The proposed zone head reselection process ensures energy efficiency, load balancing, and stability which further prolongs the network lifetime. Instead of carrying out periodic reselection of Zone-Head (ZH) that leads to extra energy consumption and network overhead, the protocol dynamically initiates the process of reselection based on residual energy level of ZH. In the proposed approach the process is segregated into four phases; deployment phase, the zone formation phase, zone head selection phase, data transmission phase and reselection phase. We implemented the proposed algorithm in MATLAB and its result outcomes reveal that the proposed method outperforms the competitive algorithms for parameters such as load balancing, total energy consumption and network lifetime.

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Analysis the Effect of Dynamic Clustering and Lightweight Symmetric Encryption Approaches on Network Lifetime in WSNs

10.21203/rs.3.rs-446269/v1 ◽

2021 ◽

Author(s):

Tarik Abu-Ain ◽

RAMI AHMAD ◽

Elankovan A Sundararajan

Keyword(s):

Wireless Network ◽

Network Lifetime ◽

Key Management ◽

Cluster Head ◽

Sensor Nodes ◽

Dynamic Cluster ◽

Hardware Resource ◽

Clustering Approach ◽

Encryption Algorithms ◽

Management Optimization

Abstract Energy consumption and security efficiency are still main challenges in Wireless Sensor Networks (WSNs) due to their hardware resource-constrained nature. The 6LoWPAN protocol was developed to improve WSNs communication, security, and node management optimization. Hence the protocol energy efficiency and security can be improved. In this paper, we address the WSN nodes’ power consumption by analyzing the Dynamic Cluster Head (DynCH) technique, which automates the process of selecting WSN Cluster Head (CH) nodes based on the WSN nodes’ energy and nodes’ distances among each other in mobile WSN nodes. Moreover, this analysis covers the complexity of DynCH in different environments to prove its efficiency compared to the steady CH mechanism. In addition, we present the performance analysis of different lightweight systematic block encryption algorithms along with DynCH scheme on WSNs lifetime. In particular, Speck128, FlexenTech, Tiny Encryption Algorithm (TEA), and Advanced Encryption Standard (AES) algorithms are used in order to determine the amount of energy consumed by the sensor nodes and their effect on the network lifetime. Furthermore, the lightweight key management mechanism is used to secure the data and keys exchange between WSN nodes in all different systematic encryption algorithms. The Cooja simulator with Contiki operating system are used to evaluate our analysis. Finally, the outcome of the analysis has showed that DynCH improves the wireless network lifetime by 45% compared to the steady clustering approach. Moreover, the analysis also shows that, Speck128 consumed 26%, FlexenTech consumed 52%, TEA consumed 65%, and AES consumed 78% of wireless network lifetime compared to unsecure wireless networks communication, respectively.

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A New Cluster Based Routing Protocol for Improving Load Balancing and Prolonging Network Lifetime in Wireless Sensor Networks

International Conference on Future Computer and Communication, 3rd (ICFCC 2011) ◽

10.1115/1.859711.paper2 ◽

2011 ◽

pp. 7-12

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Load Balancing ◽

Network Lifetime ◽

Routing Protocol ◽

Wireless Sensor ◽

Cluster Based Routing

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Increased Network Lifetime and Load Balancing Based on Network Interface Average Power Metric for RPL

IEEE Access ◽

10.1109/access.2020.2979834 ◽

2020 ◽

Vol 8 ◽

pp. 48686-48696

Author(s):

Hermano Pereira ◽

Guilherme Luiz Moritz ◽

Richard Demo Souza ◽

Anelise Munaretto ◽

Mauro Fonseca

Keyword(s):

Load Balancing ◽

Network Lifetime ◽

Average Power ◽

Network Interface

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