scholarly journals Fuzzy Logic-based Data Controlled Wireless Sensor Network Routing Protocol for Flood Early Warning

2021 ◽  
Vol 18 (3) ◽  
pp. 166-173
Author(s):  
A.E. Alabi ◽  
O.S. Ayoola ◽  
O.A. Fakolujo
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Cluster Head ◽  
Life Time ◽  
Network Routing ◽  
Warning Systems ◽  
Energy Efficient Routing ◽  
Flood Warning ◽  
Flood Warning Systems

Floods account for 15% of all natural disasters related deaths. Therefore, early flood warning systems using wireless network of sensors installed in flood prone areas is necessary to provide early notice of impending flood. This research focuses on the use of an energy efficient routing protocol to prolong the life time of the Network. The importance of this is to minimize energy consumption as necessary for reliable field operations. It adopts the use of mandami Fuzzy logic-based data controlled routing protocol (F-DCRP).Simulation was carried out for the F-DCRP, LEACH and Crisp Data controlled routing protocol (DCRP). The performance of the three protocols were obtained and compared. The result showed that Cluster head (CH) load was better shared uniformly among all the nodes. Percentage of packets dropped showed that the proposed F-DCRP was 10% lower compared to DCRP and 50% lower compared to LEACH resulting in more packets sent per round and greater reliability compared to LEACH and DCRP. The network lifetime was also improved by 40 % when compared to LEACH and DCRP.

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. 

FLCEER

2020 ◽  
Vol 15 (3) ◽  
pp. 76-101
Author(s):  
Sathishkumar Natesan ◽  
Rajakumar Krishnan
Keyword(s):  
Fuzzy Logic ◽  
Energy Efficient ◽  
Cluster Formation ◽  
Cluster Head ◽  
Threshold Value ◽  
Delivery Ratio ◽  
Energy Efficient Routing ◽  
Acoustic Sensor Networks ◽  
Long Latency ◽  
Offshore Oil

Underwater acoustic sensor networks (UASN) play a crucial role in various applications such as tsunami detection, surveillance of the ocean by the defense department, monitoring offshore oil, and identifying gas basins underwater. UASNs can be one of the supporting infrastructures for the Internet of Things (IoT). UASNs have the problems of long latency, high bit error rate, and low bandwidth. These pose various challenges such as high consumption of energy, low reliability, low packet retransmission, and high delay for UASNs. To overcome the shortcomings mentioned above, various approaches are suggested. This article proposes a multi-layer fuzzy logic cluster-based energy-efficient routing protocol for UASNs. It splits the network area into equal sized rings. The priority number (PRN) is utilized for all underwater cluster heads (UCHs). Based on the highest PRN, the UCH starts communicating among UCHs. Here, the PRN makes the task very selective avoiding collisions and also reducing propagation delays. The cluster formation is done by sending a message to all underwater cluster members (UCMs) and the selection of UCH and UCM are done. Each has a threshold value. The intra-ring clustering process splits a ring into equal-sized clusters. Additionally, inter-cluster routing applies the fuzzy logic metrics to choose the optimum data route in transferring the data from the underwater cluster head (UCH) to the sink node (SN). It is tested using Aqua-Sim simulation which is based on NS2. It is compared with an existing protocol such as multi-layer cluster energy efficient (MLCEE), depth-based routing (DBR), energy efficient DBR (EEDBR). The results prove that it has improved energy efficiency, packet delivery ratio, throughput, and the network's lifetime.

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.

scholarly journals Cluster based Energy Efficient Routing Protocol (EERP) for Mobile Wireless Sensor Network

2019 ◽  
Vol 8 (3S) ◽  
pp. 446-449
Keyword(s):  
Routing Protocol ◽  
Cluster Head ◽  
Life Time ◽  
User Preferences ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Energy Efficient Routing ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor ◽  
Optimal Cluster

Energy efficiency is one of the major open research challenges for Mobile Wireless Sensor Networks. This paper evaluates EERP which is an integrated solution for routing data according to user preferences and context. Proposed protocol contains layers for optimal cluster head election, data aggregation and filtering of sensed data. Each layer deploys intelligent mobile agents for performing its designated function efficiently. The work has been evaluated on standard metrics available in literature. Initial implementation and evaluation indicated extended network life time, transmission delay and higher packet delivery ratio as well.

scholarly journals Avant-Grade framework Routing Optimization Based on Established Network Lifetime and Energy Management in WSN

2021 ◽  
Author(s):  
Kumar V ◽  
N Jayapandian ◽  
P Balasubramanie
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Network Routing ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Energy Efficient Routing ◽  
Routing Optimization ◽  
Overall Performance

Abstract Wireless Sensor Network (WSN) is known to be a highly resource constrained class of network where energy consumption is one of the prime concerns. The existing system of LTDC has more drawbacks in network routing optimization lifetime and energy level improvement needed. In this research, a cross layer design methodology was adopted to design an energy efficient routing protocol entitled Avant-Grade framework Routing Optimization [AGFRO]. AGFRO is designed to minimize energy consumed in each node by reducing the amount of time in which a sensor node is in an idle listening state and reducing the average communication distance over the network. The performance of the proposed system has been critically evaluated in the context of network lifetime, throughput, and energy consumption of the network per individual basis and per data packet basis. The research results were analyzed and benchmarked against the well-known AGFRO protocols. The outcomes show a significant improvement in the WSN in terms of energy efficiency and the overall performance of WSN.

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