A Cluster Head Election Mechanism in Inhomogeneous Wireless Sensor Networks

2014 ◽  
Vol 556-562 ◽  
pp. 5771-5775
Author(s):  
Xu Bai ◽  
Chang Hong Wang ◽  
Jia Yan Zhang
Keyword(s):  
Energy Efficient ◽  
Cluster Head ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Practical Application ◽  
Residential Energy ◽  
Wireless Sensor Nodes ◽  
Cluster Head Election

Wireless sensor nodes are battery-powered devices with limited processing and transmission power, energy-efficient configuration has become a major design goal to improve the lifetime of the network. A cluster-based network topology can increase the scalability and lifetime, the classical clustering solutions elect the cluster head according the nodes’ residential energy in homogeneous networks, and however, the network is mostly inhomogeneous in practical application. In this paper, a cluster head election mechanism is proposed in a network which deploys the nodes with non-uniform energy and data gathering rates. This protocol is able to distribute energy consumption more reasonable among the sensors in the network, and make each node lifetime more similar.

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.

scholarly journals Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Mohammad Baniata ◽  
Jiman Hong
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Chain Length ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Smart Cities ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor

The recent advances in sensing and communication technologies such as wireless sensor networks (WSN) have enabled low-priced distributed monitoring systems that are the foundation of smart cities. These advances are also helping to monitor smart cities and making our living environments workable. However, sensor nodes are constrained in energy supply if they have no constant power supply. Moreover, communication links can be easily failed because of unequal node energy depletion. The energy constraints and link failures affect the performance and quality of the sensor network. Therefore, designing a routing protocol that minimizes energy consumption and maximizes the network lifetime should be considered in the design of the routing protocol for WSN. In this paper, we propose an Energy-Efficient Unequal Chain Length Clustering (EEUCLC) protocol which has a suboptimal multihop routing algorithm to reduce the burden on the cluster head and a probability-based cluster head selection algorithm to prolong the network lifetime. Simulation results show that the EEUCLC mechanism enhanced the energy balance and prolonged the network lifetime compared to other related protocols.

scholarly journals MIROS: A Hybrid Real-Time Energy-Efficient Operating System for the Resource-Constrained Wireless Sensor Nodes

Sensors ◽  
2014 ◽  
Vol 14 (9) ◽  
pp. 17621-17654 ◽  
Author(s):  
Xing Liu ◽  
Kun Hou ◽  
Christophe de Vaulx ◽  
Hongling Shi ◽  
Khalid Gholami
Keyword(s):  
Operating System ◽  
Real Time ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Resource Constrained ◽  
Wireless Sensor Nodes

scholarly journals Transmission Power Control with the Guaranteed Communication Reliability in WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Efficient Data ◽  
Communication Reliability

In a wireless sensor network, sensor nodes are deployed in an ad hoc fashion and they deliver data packets using multihop transmission. However, transmission failures occur frequently in the multihop transmission over wireless media. Thus, a loss recovery mechanism is required to provide end-to-end reliability. In addition, because the sensor nodes are very small devices and have insufficient resources, energy-efficient data transmission is crucial for prolonging the lifetime of a wireless sensor network. This paper proposes a transmission power control mechanism for reliable data transmission, which satisfies communication reliability through recovery of lost packets. The proposed method calculates packet reception rate (PRR) of each hop to maintain end-to-end packet delivery rate (PDR), which is determined based on the desired communication reliability. Then, the transmission power is adjusted based on the PRR to reduce energy consumption. The proposed method was evaluated through extensive simulations, and the results show that it leads to more energy-efficient data transmission compared to existing methods.

scholarly journals User Integrity Protection Security Model for Enhanced Telemedicine For Healthcare Networks

2020 ◽  
Author(s):  
Nishu Gupta
Keyword(s):  
Key Management ◽  
Energy Efficient ◽  
Key Exchange ◽  
Sensor Nodes ◽  
Base Stations ◽  
Wireless Sensor ◽  
Sensitive Information ◽  
Security Model ◽  
Wireless Sensor Nodes ◽  
Cryptographic Keys

The wireless sensor nodes utilizes the wireless channels in the frequency bands of the 802.11, 802.16, 802.15.4, 802.15.1 and other similar wireless standards. The wireless sensor networks are built of the small sensor nodes built upon the microcontroller platforms such as PIC, 8051, ARM, AVR, etc. During the periods when the WSN nodes are in working condition, they need secure cryptographic keys for secure propagation of the sensitive information. Efficient key management and distribution scheme play an important role for the data security in WSNs. Existing cryptographic key management and distribution technique usually consume higher amount of energy and put larger computational overheads on Wireless sensor nodes. The cryptographic keys are used on different communication levels of WSN communications i.e. neighbour nodes, cluster heads and base stations. A successful corporate key administration and distribution policy is required to keep up the security of the remote sensor systems. The problems described in the base papers are related to the requirement of energy efficient key exchange policies for WSNs. So to overcome the above problem there is a need to design the model to solve the key-problem of energy efficient and secure key exchange scheme. The proposed model has been found improved after the in-depth result analysis over the given scenario.

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