scholarly journals Data-Based Energy Efficient Clustered Routing Protocol for Wireless Sensors Networks – Tabuk Flood Monitoring System Case Study

2017 ◽  
Vol 5 (3) ◽  
pp. 58
Author(s):  
Ammar Babiker ◽  
Mohamed Elmaleeh ◽  
Onaytra Abbas ◽  
Abbdelrahman Osman Elfaki
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Wireless Sensors ◽  
Cluster Head ◽  
Base Station ◽  
Energy Efficient Routing ◽  
New Energy ◽  
Important Challenge ◽  
The One ◽  
Wireless Sensors Networks

<p>Energy efficiency has been considered as the most important issue in wireless sensor networks. As in many applications, wireless sensors are scattered in a wide harsh area, where the battery replacement or charging will be quite difficult and it is the most important challenge. Therefore, the design of energy saving mechanism becomes mandatory in most recent research. In this paper, a new energy efficient clustered routing protocol is proposed: the proposed protocol is based on analyzing the data collected from the sensors in a base-station. Based on this analysis the cluster head will be selected as the one with the most useful data. Then, a variable time slot is specified to each sensor to minimize the transmission of repetitive and un-useful data. The proposed protocol Data-Based Energy Efficient Clustered Routing Protocol for Wireless Sensors Networks (DCRP) was compared with the famous energy efficient LEACH protocol and also with one of the recent energy efficient routing protocols named Position Responsive Routing Protocol (PRRP). DCRP has been used in monitoring the floods in Tabuk area –Saudi Arabia. It shows comparatively better results.</p>

F-MEEP: Fuzzy Logic Based Multihop Energy Efficient Routing Protocol for HWSN

2016 ◽  
Vol 15 (14) ◽  
pp. 7406-7415
Author(s):  
Muhammad Rizwan ◽  
Muhammad S. Nisar ◽  
Hongbo Jiang
Keyword(s):  
Energy Efficiency ◽  
Fuzzy Logic ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Short Distance ◽  
Cluster Head ◽  
Base Station ◽  
Energy Efficient Routing ◽  
Inference System

Energy preservation is one of the most important research challenges in Wireless Senor Networks (WSNs). In recent research, topologies and architectures have investigated that allow energy efficiency in WSNs. Clustering is one of the most famous energy efficient techniques. In clustering, the selection of cluster head (CH) and short distance multi-hop energy efficient communication between CH and base station (BS) plays a vital role in order to achieve the desired energy efficiency in the sensor network. In this energy saving solution, we purpose and combine the idea of fuzzy logic based CH selection and multihop short distance communication between CH and base station in order to prolong the stable period and life span of network. Our proposed routing protocol, Fuzzy Logic based Multihop Energy Efficient Routing Protocol (FMEEP) for Heterogeneous WSN, which uses fuzzy logic inference system (FIS) in order to select a qualified CH in the cluster formation process and minimizes the overall energy dissipation in the sensor network. The simulation results have shown that purposed routing scheme outperforms in terms of stability period and network lifetime as compared to previous routing protocols. 

Sector Tree-Based Clustering for Energy Efficient Routing Protocol in Heterogeneous Wireless Sensor Network

2021 ◽  
Vol 13 (5) ◽  
pp. 57-74
Author(s):  
Nguyen Duy Tan ◽  
Vu Khanh Quy ◽  
Pham Ngoc Hung ◽  
Le Van Vinh
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Power Efficient ◽  
Heterogeneous Wireless Sensor Network ◽  
Mixed Distance

One of the main challenges for researchers to build routing protocols is how to use energy efficiently to extend the lifespan of the whole wireless sensor networks (WSN) because sensor nodes have limited battery power resources. In this work, we propose a Sector Tree-Based clustering routing protocol (STB-EE) for Energy Efficiency to cope with this problem, where the entire network area is partitioned into dynamic sectors (clusters), which balance the number of alive nodes. The nodes in each sector only communicate with their nearest neighbour by constructing a minimum tree based on the Kruskal algorithm and using mixed distance from candidate node to base station (BS) and remaining energy of candidate nodes to determine which node will become the cluster head (CH) in each cluster? By calculating the duration of time in each round for suitability, STB-EE increases the number of data packets sent to the BS. Our simulation results show that the network lifespan using STB-EE can be improved by about 16% and 10% in comparison to power-efficient gathering in sensor information system (PEGASIS) and energy-efficient PEGASIS-based protocol (IEEPB), respectively.

Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)

2013 ◽  
Vol 5 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Node ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Energy Efficient Routing

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.

scholarly journals A PSO-Based Uneven Dynamic Clustering Multi-Hop Routing Protocol for Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1835 ◽  
Author(s):  
Ruan ◽  
Huang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Cluster Head ◽  
Base Station ◽  
Wireless Sensor ◽  
Dynamic Clustering ◽  
Energy Efficient Routing

Since wireless sensor networks (WSNs) are powered by energy-constrained batteries, many energy-efficient routing protocols have been proposed to extend the network lifetime. However, most of the protocols do not well balance the energy consumption of the WSNs. The hotspot problem caused by unbalanced energy consumption in the WSNs reduces the network lifetime. To solve the problem, this paper proposes a PSO (Particle Swarm Optimization)-based uneven dynamic clustering multi-hop routing protocol (PUDCRP). In the PUDCRP protocol, the distribution of the clusters will change dynamically when some nodes fail. The PSO algorithm is used to determine the area where the candidate CH (cluster head) nodes are located. The adaptive clustering method based on node distribution makes the cluster distribution more reasonable, which balances the energy consumption of the network more effectively. In order to improve the energy efficiency of multi-hop transmission between the BS (Base Station) and CH nodes, we also propose a connecting line aided route construction method to determine the most appropriate next hop. Compared with UCCGRA, multi-hop EEBCDA, EEMRP, CAMP, PSO-ECHS and PSO-SD, PUDCRP prolongs the network lifetime by between 7.36% and 74.21%. The protocol significantly balances the energy consumption of the network and has better scalability for various sizes of network.

Energy-Efficient Routing Protocol on Mobile Sink in Wireless Sensor Network

2013 ◽  
Vol 787 ◽  
pp. 1050-1055 ◽  
Author(s):  
Zhi Gui Lin ◽  
Hui Qi Zhang ◽  
Xu Yang Wang ◽  
Fang Qin Yao ◽  
Zhen Xing Chen
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Model Simulation ◽  
Cluster Head ◽  
Mobile Sink ◽  
High Energy ◽  
Residual Energy ◽  
Energy Efficient Routing ◽  
Simulation Results

To the disadvantages, such as high energy consumption and the energy consumption imbalance, we proposed an energy-efficient routing protocol on mobile sink (MSEERP) in this paper. In the MSEERP, the network is divided into several square virtual grids based on GAF, each grid is called a cluster, and the cluster head election method of GAF is improved. In addition, the MSEERP introduces a mobile sink in the network, the sink radios in limited number of hops and uses control moving strategy, namely the sink does not collect the information until it moves to a cluster with highest residual energy. We applied NS2 to evaluate its performance and analyze the simulation results by the energy model. Simulation results show that the MSEERP balances the energy consumption of the network, saves nodes energy and extends the network lifetime.

Energy-Efficient Routing Protocol of Wireless Sensor Network for Industrial Application

2013 ◽  
Vol 579-580 ◽  
pp. 732-739
Author(s):  
Zhi Yan Ma ◽  
Guang You Yang ◽  
Jing Jing Zhou ◽  
Xiong Gan
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Time Slot ◽  
Data Gathering ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Death Time ◽  
Leach Protocol ◽  
Energy Efficient Clustering

An energy-efficient wireless sensor routing protocol (Energy-efficient clustering hierarchy routing protocol, EECH) for industrial field is proposed based on LEACH protocol according to the energy inefficiency of existing routing protocols and the characteristics of industrial field applications. The EECH protocol takes full advantages of the node clustering and time slot distribution in LEACH and implements the functions such as clustering, multi hop time slot distribution, node sleeping and data gathering. The cluster heads can be evenly distributed in the area with the geography location information of the wireless nodes, so that the optimal data gathering path can be established. Meanwhile, the EECH protocol can reduce the conflict in data receiving/transmitting and the energy consumption of the nodes, and extend the network lifetime through the multi hop time slot distribution and node sleep mechanism. The simulation results have shown that the death time of the first node in EECH protocol is extended double time than that of LEACH protocol. When most of the nodes dies, the amount of received data of the base station node is more than twice as much as the LEACH protocol, which has verified the energy efficiency characteristic of the EECH protocol.

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