scholarly journals Energy-Efficient Hybrid Routing Protocol for IoT Communication Systems in 5G and Beyond

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 537
Author(s):  
Mohammad Baniata ◽  
Haftu Tasew Reda ◽  
Naveen Chilamkurti ◽  
Alsharif Abuadbba
Keyword(s):  
Energy Efficiency ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Sensor Nodes ◽  
Clustering Methods ◽  
Mimo Antenna ◽  
Improve Energy Efficiency ◽  
Art Research

One of the major concerns in wireless sensor networks (WSNs) is most of the sensor nodes are powered through limited lifetime of energy-constrained batteries, which majorly affects the performance, quality, and lifetime of the network. Therefore, diverse clustering methods are proposed to improve energy efficiency of the WSNs. In the meantime, fifth-generation (5G) communications require that several Internet of Things (IoT) applications need to adopt the use of multiple-input multiple-output (MIMO) antenna systems to provide an improved capacity over multi-path channel environment. In this paper, we study a clustering technique for MIMO-based IoT communication systems to achieve energy efficiency. In particular, a novel MIMO-based energy-efficient unequal hybrid clustering (MIMO-HC) protocol is proposed for applications on the IoT in the 5G environment and beyond. Experimental analysis is conducted to assess the effectiveness of the suggested MIMO-HC protocol and compared with existing state-of-the-art research. The proposed MIMO-HC scheme achieves less energy consumption and better network lifetime compared to existing techniques. Specifically, the proposed MIMO-HC improves the network lifetime by approximately 3× as long as the first node and the final node dies as compared with the existing protocol. Moreover, the energy that cluster heads consume on the proposed MIMO-HC is 40% less than that expended in the existing protocol.

scholarly journals Energy Efficient Trust Node Based Routing Protocol (EETRP) to Maximize the Lifetime of Wireless Sensor Networks in Plateaus

2019 ◽  
Vol 15 (06) ◽  
pp. 113 ◽  
Author(s):  
Nandoori Srikanth ◽  
Muktyala Sivaganga Prasad
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Energy Limitation

<p>Wireless Sensor Networks (WSNs) can extant the individual profits and suppleness with regard to low-power and economical quick deployment for numerous applications. WSNs are widely utilized in medical health care, environmental monitoring, emergencies and remote control areas. Introducing of mobile nodes in clusters is a traditional approach, to assemble the data from sensor nodes and forward to the Base station. Energy efficiency and lifetime improvements are key research areas from past few decades. In this research, to solve the energy limitation to upsurge the network lifetime, Energy efficient trust node based routing protocol is proposed. An experimental validation of framework is focused on Packet Delivery Ratio, network lifetime, throughput, energy consumption and network loss among all other challenges. This protocol assigns some high energy nodes as trusted nodes, and it decides the mobility of data collector.  The energy of mobile nodes, and sensor nodes can save up to a great extent by collecting data from trusted nodes based on their trustworthiness and energy efficiency.  The simulation outcome of our evaluation shows an improvement in all these parameters than existing clustering and Routing algorithms.<strong></strong></p>

Energy Efficient Multi-Hop Wireless Sensor Networks with CMIMO-SM Scheme

2014 ◽  
Vol 666 ◽  
pp. 322-326
Author(s):  
Yu Yang Peng ◽  
Jae Ho Choi
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Optimal Number ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Improve Energy Efficiency ◽  
Output System

Energy efficiency is one of the important hot issues in wireless sensor networks. In this paper, a multi-hop scheme based on a cooperative multi-input multi-outputspatial modulation technique is proposed in order to improve energy efficiency in WSN. In this scheme, the sensor nodes are grouped into clusters in order to achieve a multi-input multi-output system; and a simple forwarding transmission scenario is considered so that the intermediate clusters only forward packets originated from the source cluster down to the sink cluster. In order to verify the performance of the proposed system, the bit energy consumption formula is derived and the optimal number of hopsis determined. By qualitative experiments, the obtained results show that the proposed scheme can deliver the data over multiple hops consuming optimal energy consumption per bit.

scholarly journals Network Coding aware Routing for Efficient Communication in Mobile Ad-hoc Networks

2018 ◽  
Vol 7 (3) ◽  
pp. 1474
Author(s):  
V Prashanthi ◽  
D Suresh Babu ◽  
C V. Guru Rao
Keyword(s):  
Energy Efficiency ◽  
Network Coding ◽  
Network Lifetime ◽  
Routing Protocols ◽  
Negative Impact ◽  
Dominating Set ◽  
Optimal Solution ◽  
Sensor Nodes ◽  
Energy Usage ◽  
Improve Energy Efficiency

Existing approach of routing protocols had only partial support towards energy efficiency. However, none of them had focused on considering network coding aware routing to reduce energy consumption. Majority of the existing solutions in literature to improve the communication performance of MANET has focused on minimum cost routing protocols. There are very less significant studies towards network coding in performing routing in MANET system. Therefore, it is totally unknown how network coding could be used to solve such issues. Throughput in wireless networks can be enhanced with the help of network coding. This approach also increases network lifetime in the cases of devices running on battery, such as wireless sensor nodes. Additionally, network coding achieves a reduction in the number of transmissions needed for transmission of a specific message through the network by making energy usage more efficient. Despite its benefits, however, network coding can have a negative impact on network lifetime if it is implemented excessively. Initially, to achieve the goal of improving throughput, reducing energy efficiency by reducing the number of broadcasting transmissions, a network coding model is created in this study and the MANET broadcast based on network coding is improved by the heuristic principle of Ant Colony Optimization. This study proposes the application of a network coding based dominating set approach to traditional routing protocols like adhoc on demand distance vector (AODV) as a solution to this issue. Coding gain of different topologies with different offer loads is evaluated using network coding. We discussed the performance of Alice-bob, cross, X, and wheel topologies using network coding. The study has paid particular attention to the trade-off between selection of paths compatible with network coding and network lifetime. The present study addresses this compromise that demonstrates that networks with energy restrictions are incompatible with the current network coding strategies based on throughput. One routing issue is attributed particular importance, namely, reduction of overall energy usage and improvement of individual node lifetime through effective routing of a series of traffic demands over the network. A range of analytical formulations is put forth to generate an optimal solution for the issue of multi-path routing. Results show that, by comparison to solutions without network coding, the suggested solutions improve energy efficiency while at the same time satisfying the specified lifetime restrictions.

scholarly journals Trust based Secure and Energy Efficient Routing using ACO for WSN

2019 ◽  
Vol 8 (4) ◽  
pp. 7278-7282
Keyword(s):  
Energy Efficiency ◽  
Network Lifetime ◽  
Optimization Algorithm ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Ant Colony Optimization Algorithm ◽  
Energy Efficient Routing ◽  
Proposed Model ◽  
Constrained Environments ◽  
Time Requirements

Secure and energy efficient routing is one of the major requirements of the WSN models. This is due to the resource constrained environments and remotely deployed conditions. This work proposes an effective model that ensures security and energy efficiency during the routing process in a WSN. The proposed model modifies the Ant Colony Optimization algorithm to perform routing based on these multiple objectives. The proposed model uses trust as the major component to provide security, and the randomness associated with the metaheuristic nature of the model enables uniform usage of all sensor nodes. This also extends the network lifetime, making the proposed model highly efficient and deployable in real-time networks. Experiments and comparisons also indicate that the proposed model exhibits shorter time requirements and provides more optimized paths compared to models in literature.

Minimizing Energy Consumption in Wireless Sensor Networks by Partition

2016 ◽  
Vol 850 ◽  
pp. 23-29
Author(s):  
Wen Zhi Zhu ◽  
Feng Xu
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Clustering Methods ◽  
Improve Energy Efficiency

In wireless sensor networks, clustering class routing protocol is an important protocol type. Different clustering methods, and cluster head selection method directly affects the energy consumption of the entire network communication. This paper studies the effect of different partition methods of the network energy consumption, and to study the partitioning methods under the conditions of uneven distribution of nodes. We believe that energy efficiency clustering method should adapt the distributed of sensor nodes in order to improve energy efficiency. And according to the partition method we propose a low-power adaptive clustering routing protocol based on node distribution to partition. The protocol can effectively extend the lifetime of a wireless sensor network. Simulation results show that the proposed protocol can effectively prolong the network lifetime.

Modified Grey Wolf Optimization with Levy Flights Based Energy Efficient Clustering Technique in Wireless Sensor Networks

2020 ◽  
Vol 17 (12) ◽  
pp. 5429-5437
Author(s):  
R. Sathiya Priya ◽  
K. Arutchelvan ◽  
C. Bhuvaneswari
Keyword(s):  
Energy Efficiency ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Clustering Technique ◽  
Cluster Heads ◽  
Energy Efficient Clustering

Wireless Sensor Network (WSN) comprises a set of inexpensive, compact and battery powered sensor nodes, deployed in the sensing region. WSN is highly useful for data gathering and tracking applications. Owing to the battery powered nature of sensor nodes, energy efficiency remains as a crucial design issue. Earlier works reported that clustering is considered as an energy efficient technique and effective selection of cluster heads (CHs) remains a major issue in WSN. Since clustering process is considered as an NP hard problem, optimization algorithms are employed to resolve it. This paper develops a new energy efficient clustering technique using Modified Grey Wolf Optimization with Levy Flights (MGWO-LF) for WSN. The proposed MGWO-LF algorithm incorporates the levy flight (LF) mechanism into the hunting phase of traditional GWO algorithm to avoid local optima problem. The proposed model has the ability of proficiently selecting the cluster heads (CHs), achieves energy efficiency and maximum network lifetime. The detailed simulation analysis ensured that the MGWO-LF algorithm has prolonged the network lifetime in a considerable way.

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

Enhanced Adaptive Distributed Energy-Efficient Clustering (EADEEC) for Wireless Sensor Networks

2020 ◽  
Vol 13 (2) ◽  
pp. 168-172
Author(s):  
Ravi Kumar Poluru ◽  
M. Praveen Kumar Reddy ◽  
Syed Muzamil Basha ◽  
Rizwan Patan ◽  
Suresh Kallam
Keyword(s):  
Network Lifetime ◽  
Routing Protocols ◽  
Energy Efficient ◽  
High Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Distributed Energy ◽  
Stability Period ◽  
Energy Efficient Clustering

Background:Recently Wireless Sensor Network (WSN) is a composed of a full number of arbitrarily dispensed energy-constrained sensor nodes. The sensor nodes help in sensing the data and then it will transmit it to sink. The Base station will produce a significant amount of energy while accessing the sensing data and transmitting data. High energy is required to move towards base station when sensing and transmitting data. WSN possesses significant challenges like saving energy and extending network lifetime. In WSN the most research goals in routing protocols such as robustness, energy efficiency, high reliability, network lifetime, fault tolerance, deployment of nodes and latency. Most of the routing protocols are based upon clustering has been proposed using heterogeneity. For optimizing energy consumption in WSN, a vital technique referred to as clustering.Methods:To improve the lifetime of network and stability we have proposed an Enhanced Adaptive Distributed Energy-Efficient Clustering (EADEEC).Results:In simulation results describes the protocol performs better regarding network lifetime and packet delivery capacity compared to EEDEC and DEEC algorithm. Stability period and network lifetime are improved in EADEEC compare to DEEC and EDEEC.Conclusion:The EADEEC is overall Lifetime of a cluster is improved to perform the network operation: Data transfer, Node Lifetime and stability period of the cluster. EADEEC protocol evidently tells that it improved the throughput, extended the lifetime of network, longevity, and stability compared with DEEC and EDEEC.

Energy Efficient Clustering and Routing Algorithm for WSN

2019 ◽  
Vol 12 ◽  
Author(s):  
Mohit Kumar ◽  
Sonu Mittal ◽  
Md. Amir Khusru Akhtar
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Hot Spot ◽  
Routing Algorithm ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Clustering ◽  
Hot Spot Problem

Background: This paper presents a novel Energy Efficient Clustering and Routing Algorithm (EECRA) for WSN. It is a clustering-based algorithm that minimizes energy dissipation in wireless sensor networks. The proposed algorithm takes into consideration energy conservation of the nodes through its inherent architecture and load balancing technique. In the proposed algorithm the role of inter-cluster transmission is not performed by gateways instead a chosen member node of respective cluster is responsible for data forwarding to another cluster or directly to the sink. Our algorithm eases out the load of the gateways by distributing the transmission load among chosen sensor node which acts as a relay node for inter-cluster communication for that round. Grievous simulations show that EECRA is better than PBCA and other algorithms in terms of energy consumption per round and network lifetime. Objective: The objective of this research lies in its inherent architecture and load balancing technique. The sole purpose of this clustering-based algorithm is that it minimizes energy dissipation in wireless sensor networks. Method: This algorithm is tested with 100 sensor nodes and 10 gateways deployed in the target area of 300m × 300m. The round assumed in this simulation is same as in LEACH. The performance metrics used for comparisons are (a) network lifetime of gateways and (b) energy consumption per round by gateways. Our algorithm gives superior result compared to LBC, EELBCA and PBCA. Fig 6 and Fig 7 shows the comparison between the algorithms. Results: The simulation was performed on MATLAB version R2012b. The performance of EECRA is compared with some existing algorithms like PBCA, EELBCA and LBCA. The comparative analysis shows that the proposed algorithm outperforms the other existing algorithms in terms of network lifetime and energy consumption. Conclusion: The novelty of this algorithm lies in the fact that the gateways are not responsible for inter-cluster forwarding, instead some sensor nodes are chosen in every cluster based on some cost function and they act as a relay node for data forwarding. Note the algorithm does not address the hot-spot problem. Our next endeavor will be to design an algorithm with consideration of hot-spot problem.

scholarly journals Optimized Energy Efficient Trust Aware System in Wireless Sensor Networks

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Palak Aggarwal ◽  
Santosh Kumar ◽  
Neha Garg ◽  
Sumeshwar Singh
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
False Alarm ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Packet Transmission ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Packet Drop

Energy and security are very important issues in Wireless Sensor Networks (WSN) which need to be handled. These issues are interrelated because of limited energy there are some restrictions on implementation of security. Insider packet drop attack is one of the dangerous attacks for wireless sensor network that causes a heavy damage to WSN functionalities by dropping packets. It becomes necessary to identify such attack for secure routing of data in WSN. To detect this attack, trust mechanism has been proven as a successful technique. In this mechanism, each node verifies the trustworthiness of its neighbor node before packet transmission so that packets can only be transmitted to trustworthy nodes. But there is a problem of False Alarm with such trust-aware scheme. False alarm occurs when a good node’s trust value goes down due to natural packet dropping and being eliminated from the routing paths. This wastes network’s resources that further shortens network lifetime. In this paper, we have proposed a system for identification and recovery of false alarms (IRFA) which is the optimization of existing trust based system. But security solution needs to be energy efficient due to scarcity of energy resources in WSN. To provide energy efficiency, we have implemented proposed IRFA system in cluster based environment which detects insider packet drop attackers in an energy efficient manner. We have conducted OMNET++ simulation and results demonstrate that the proposed system performance is better than existing trust-based system in terms of packet delivery rate and energy efficiency which improves network lifetime.

Sign in / Sign up

Export Citation Format

Share Document