scholarly journals Efficient Cluster Head Selection in IEEE 802.11ahfor IoT Applications

2021 ◽  
Vol 10 (1) ◽  
pp. 208-213
Keyword(s):  
Wireless Lan ◽  
Control Mechanism ◽  
Cluster Head ◽  
Cost Effective ◽  
Access Point ◽  
Cluster Head Selection ◽  
Iot Applications ◽  
Ieee 802.11Ah ◽  
Simulation Results ◽  
Long Range Communication

EEE 802.11ah is a wireless LAN standard in the sub-1-GHz license-exempt bands for cost-effective and long-range communication. The most challenging issue in IEEE 802.11ah is to ensure that thousands of stations associate efficiently with a single access point. When several thousand stations try to associate with the access point during network initialization, it causes channel contention and long association delay. IEEE 802.11ah has introduced an authentication control mechanism (ACM) that divides the stations into groups allowing fewest stations to access the medium. In this paper, we propose to automate the cluster head selection using LEACH. Simulation results reveal that our proposed method is efficient in terms of association delay.

Research and Improvement about LEACH Routing Protocol for Wireless Sensor Networks

2012 ◽  
Vol 241-244 ◽  
pp. 1028-1032
Author(s):  
Li Wang ◽  
Qi Lin Zhu
Keyword(s):  
Routing Protocol ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Selection Algorithm ◽  
Energy Factor ◽  
Random Cluster ◽  
Simulation Results ◽  
Node Energy

In recent years, as the development of wireless sensor network, people do some deep researches on cluster-based protocol, most around the prolongation of the lifetime of WSN and decline of energy consumed by the sensors. This paper analyses of classical clustering routing protocol based on LEACH, aiming at the node energy foot presents energy improved clustering routing algorithm, the random cluster head selection algorithm of threshold to be changed, lowering the threshold, in the original threshold increases the node's remaining energy factor, reduces the communication load of cluster nodes, and simulation. The simulation results show that the LEACH-E improved algorithm, energy saving, reducing balance node energy consumption, effectively prolongs the network lifetime.

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.

An Effective Congestion and Interference Secure Routing Protocol for Internet of Things Applications in Wireless Sensor Network

2021 ◽  
Author(s):  
Ramdas Vankdothu ◽  
Hameed Mohd Abdul
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Routing Protocol ◽  
Cluster Head ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Iot Applications ◽  
Selection Factor

Abstract This paper provides an effective Wireless Sensor Network(WSN) routing solution for Internet of Things(IoT) applications cognizant of congestion, security, and interference. Because several sources try to deliver their packets to a destination simultaneously, which is a common case in IoT applications. The proposed congestion and interference aware safe routing protocol is claimed to work in networks with high traffic. The signal to interference ratio (SINR), congestion level, and survival factor is used in our suggested procedure to estimate the cluster head selection factor first. The adaptive fuzzy c-means clustering method clusters the network nodes based on the cluster head selection factor. After that, data packets are encrypted using Adaptive Quantum Logic-based packet coding. Finally, the Adaptive Krill Herd (AKH) optimization method identifies the least congested corridor, resulting in optimal data transmission routing. The exploratory findings show that the provided strategy outperforms previous methodologies in network performance, end-to-end delay, packet delivery ratio, and node remaining energy level.

Passive Distributed Clustering Scheme in Wireless Sensor Networks

2013 ◽  
Vol 441 ◽  
pp. 936-940
Author(s):  
Hui Gao
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Cluster Head ◽  
Residual Energy ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Distributed Clustering ◽  
Simulation Results

Energy efficiency is especially important for the cluster of the wireless sensor network (WSN). This paper studies how to increase availability and survivability of WSN by selecting a suitable cluster head. For this purpose, we propose a passive distributed clustering scheme (PDCS), to promote the efficiency of energy utilization. In PDCS, both the relative distance and the residual energy are taken into consideration for cluster head selection. Simulation results present that PDCS has better performance than the well-known LEACH scheme.

scholarly journals Distributed Dynamic Cluster-Head Selection and Clustering for Massive IoT Access in 5G Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 132 ◽  
Author(s):  
Yifeng Zhao ◽  
Kai Liu ◽  
Xueting Xu ◽  
Huayu Yang ◽  
Lianfen Huang
Keyword(s):  
Resource Utilization ◽  
Communication Systems ◽  
Success Probability ◽  
Cluster Head ◽  
Base Station ◽  
Cluster Head Selection ◽  
Dynamic Cluster ◽  
Physical Channel ◽  
Simulation Results ◽  
Iot Devices

With the rapid growth of Internet-of-things (IoT) devices, IoT communication has become an increasingly crucial part of 5G wireless communication systems. The large-scale IoT devices access results in system overload and low utilization of energy efficiency under the existing network framework. In this paper, the cluster head uses the LTE-M protocol, and the intra-cluster uses the low-power wide-area network (LPWAN) self-networking protocol in the wireless sensor network. By a detailed analysis of the messages exchanged between the device and the base station, we describe the causes of overload and the steps of data aggregate combined with the physical channel. Then, we explore the cluster head quantity and the optimal scale in the intra-cluster under the traditional K-mean algorithm. When K is 30 under specific resources, the simulation results show that the system’s access success probability and resource utilization are optimal. Also, we propose a distributed dynamic cluster-head selection and clustering scheme based on an improved K-means algorithm. Simulation results show that the proposed scheme can reach 88.07% on the access success probability. The throughput and resource utilization are 3.5 times high than that of the optimal K-means.

scholarly journals Analisis Perbandingan Kinerja Protokol Routing DSDV dan OLSR Untuk Perubahan Kecepatan Mobilitas pada Standar IEEE 802.11ah

2016 ◽  
Vol 8 (2) ◽  
pp. 100
Author(s):  
Muhammad Irfan Denatama ◽  
Doan Perdana ◽  
Ridha Muldina Negara
Keyword(s):  
Wireless Lan ◽  
Ad Hoc ◽  
Access Point ◽  
Base Station ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Ieee 802.11Ah

Dewasa ini, teknologi informasi yang praktis dan efisien sangatlah dibutuhkan. Jaringan ad hoc merupakan teknologi wireless LAN (WLAN) yang tidak membutuhkan suatu infrastruktur seperti base station pada jaringannya. Akan tetapi, teknologi wireless sering kali memiliki keterbatasan resource. Standar IEEE 802.11ah didesain untuk bekerja pada frekuensi sub – 1 GHz, jangkauan transmisinya mencapai 1 Km, konsumsi daya yang rendah, serta dapat melayani ribuan station untuk sebuah access point. Pada penelitian ini telah membandingkan protokol routing DSDV dan OLSR pada standar IEEE 802.11ah dengan menggunakan NS 3. Sedangkan parameter perbandingan yang digunakan adalah throughput, packet delivery ratio, rata – rata delay, dan konsumsi energi. Berdasarkan hasil yang didapat, protokol routing OLSR memiliki kinerja yang lebih baik dibandingkan protokol routing DSDV pada skenario perubahan kecepatan. Nilai rata – rata throughput untuk OLSR adalah 28400 Bps sedangkan untuk DSDV adalah 2934 Bps. Nilai rata – rata PDR untuk OLSR adalah 14,582 % sedangkan untuk DSDV adalah 2,7 %. Nilai rata – rata delay untuk OLSR adalah 0,04453994 s sedangkan untuk DSDV adalah 0,6261986 s. Sedangkan rasio perbandingan untuk konsumsi energi antara protokol routing OLSR dan DSDV adalah 1,48 % untuk skenario perubahan kecepatan.

Developing Multi-Tier Network Design for Effective Energy Consumption of Cluster Head Selection in WSN

2016 ◽  
Vol 13 (1) ◽  
pp. 116
Author(s):  
Wan Isni Sofiah Wan Din ◽  
Saadiah Yahya ◽  
Mohd Nasir Taib ◽  
Ahmad Ihsan Mohd Yassin ◽  
Razulaimi Razali
Keyword(s):  
Sensor Network ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Cluster Head Selection ◽  
Energy Usage ◽  
Network Cluster ◽  
Fuzzy Logic Approach ◽  
The Stability

Clustering in Wireless Sensor Network (WSN) is one of the methods to minimize the energy usage of sensor network. The design of sensor network itself can prolong the lifetime of network. Cluster head in each cluster is an important part in clustering to ensure the lifetime of each sensor node can be preserved as it acts as an intermediary node between the other sensors. Sensor nodes have the limitation of its battery where the battery is impossible to be replaced once it has been deployed. Thus, this paper presents an improvement of clustering algorithm for two-tier network as we named it as Multi-Tier Algorithm (MAP). For the cluster head selection, fuzzy logic approach has been used which it can minimize the energy usage of sensor nodes hence maximize the network lifetime. MAP clustering approach used in this paper covers the average of 100Mx100M network and involves three parameters that worked together in order to select the cluster head which are residual energy, communication cost and centrality. It is concluded that, MAP dominant the lifetime of WSN compared to LEACH and SEP protocols. For the future work, the stability of this algorithm can be verified in detailed via different data and energy. 

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