Energy‐efficient network design via modelling: optimal designing point for energy, reliability, coverage and end‐to‐end delay

IET Networks ◽  
2013 ◽  
Vol 2 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Mohammad Saeed Ansari ◽  
Ali Mahani ◽  
Yousef S. Kavian
Keyword(s):  
Network Design ◽  
Energy Efficient ◽  
End To End Delay ◽  
End To End ◽  
Energy Reliability ◽  
Optimal Designing

scholarly journals Fireflies Ant Optimized Reliable Quality Awareness Energy Efficient Routing Protocol for Managing Quality of Medical Data in Wireless Body Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 5007-5012
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Medical Data ◽  
Energy Efficient Routing ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End ◽  
Quality Awareness

The wireless body area network is one of effective wearable devices that have been used in medical applications for collecting patient information to providing the treatment incorrect time for avoiding seriousness. The collected data’s such as blood pressure, air flow, temperature, electromagnetic information is transmitted to the health care center via the wireless technology, which reduces the difficulties also helps to provide the immediate treatment. During the information transmission, the main issues are Quality of Service (QoS), low packet delivery, high energy consumption and end to end delay. So, in this paper introduces the Fireflies Ant Optimized, Reliable Quality Awareness, Energy Efficient Routing Protocol ((FAORQEER) for maintaining the quality of the recorded medical data. The network examines the optimal path by using the characteristics of fireflies and the network life time and energy of the network is managed by introducing an energy efficient method. The process then evaluates efficiency with test results about energy consumption, packet delivery ratio, end to end delay and QoS metric associated constraints.

scholarly journals Energy Aware Routing Protocol for Energy Constrained Mobile Ad-hoc Networks

2018 ◽  
Vol 8 (5) ◽  
pp. 2979
Author(s):  
Nadeem Iqbal ◽  
Mohammad Shafie Bin Abd Latiff ◽  
Shafi’i Muhammad Abdulhamid
Keyword(s):  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Delivery Ratio ◽  
Energy Aware ◽  
End To End Delay ◽  
Mobile Ad Hoc ◽  
End To End ◽  
Energy Aware Routing

Dynamic topology change and decentralized makes routing a challenging task in mobile ad hoc network. Energy efficient routing is the most challenging task in MANET due to limited energy of mobile nodes. Limited power of batteries typically use in MANET, and this is not easy to change or replace while running communication. Network disorder can occur for many factors but in middle of these factors deficiency of energy is the most significant one for causing broken links and early partition of the network. Evenly distribution of power between nodes could enhance the lifetime of the network, which leads to improving overall network transmission and minimizes the connection request. To discourse this issue, we propose an Energy Aware Routing Protocol (EARP) which considers node energy in route searching process and chooses nodes with higher energy levels. The EARP aim is to establish the shortest route from source to destination that contains energy efficient nodes. The performance of EARP is evaluated in terms of packet delivery ratio, network lifetime, end-to-end delay and throughput. Results of simulation done by using NS2 network simulator shows that EARP can achieve both high throughput and delivery ratio, whereas increase network lifetime and decreases end-to-end delay.

scholarly journals Energy Efficient Management of Pipelines in Buildings Using Linear Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2618 ◽  
Author(s):  
Sudeep Varshney ◽  
Chiranjeev Kumar ◽  
Abhishek Swaroop ◽  
Ashish Khanna ◽  
Deepak Gupta ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Natural Gas ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Medium Size ◽  
End To End Delay ◽  
Safe Management ◽  
Water Pipelines ◽  
End To End

The efficient and safe management of air conditioner (AC), Piped Natural Gas (PNG) and water pipelines in large buildings is a major challenge for the safety of these buildings. In recent years, Linear Wireless Sensor Networks (LWSN) are being used extensively for monitoring of long natural gas, water, and oil pipelines. LWSNs can also be used for efficient and safe management of AC, PNG and water pipelines in large buildings. In this paper, a scheme for optimal placement of sensors and base stations in a linear fashion to monitor the various pipelines used in large buildings has been proposed. The proposed scheme utilizes the Lion Optimization Algorithm (LOA) and has been compared with three strategies, namely Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Greedy Approach with respect to throughput, lifetime and end-to-end delay. The simulation results show that the proposed scheme exhibits better performance in comparison to the other three considered techniques for all the three parameters. The most striking feature of the proposed approach is that optimization is more effective when the length of the pipeline is more as far as end-to-end delay is concerned. The lifetime of the network is significantly improved using the proposed approach, especially when the length of the pipeline is of medium size, which makes the proposed scheme suitable for energy efficient buildings.

AN ENERGY EFFICIENT SPECTRUM AWARE ROUTING FOR COGNITIVE RADIO NETWORKS

2019 ◽  
Vol 13 ◽  
Author(s):  
Dileep Reddy Bolla ◽  
Shivashankar
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Energy Efficient ◽  
Multipath Fading ◽  
Spectrum Management ◽  
Radio Networks ◽  
Traffic Load ◽  
End To End Delay ◽  
End To End

Background: Now a days Due to rapid increase in the internet the Spectrum available is been overcrowded and thus the spectrum Sensing can be achieved by using the predominant technology i.e., Cognitive Radio as the spectrum is been under-utilized by the wireless communication technologies. Objective: The prime objective of the research work carried out is to achieve the energy efficiency and to use the spectrum effectively by using the spectrum management concept and achieve better throughput, end to end delay etc., Methods: The detection of the spectrum hole plays a vital role in the routing of the cognitive radio networks. As the hidden node problems and the multipath fading and the shadowing are considered to be impacting the sensing of the spectrum to overcome these issues Cooperative spectrum Sensing Mechanism is been adopted to sense the spectrum in an optimal manner and over cum the issues. Along with these issues the spectrum resources changes time to time in the routing. Result: An Energy Efficient Spectrum aware Routing (ESR) is been proposed which involves the timeslot and the routing schemes were been discussed. The simulation parameters have been proposed and the improvement in the performance of network through and a decrease in the end-to end delay have been observed and analyzed. Conclusion: An Energy Efficient spectrum management and the routing is successfully established to communication in the network and further traffic load is observed to be balanced in the protocol based on the residual energy in a node and further it prologs the Network Lifetime of the Overall Network and the Individual CR user. Further the end-to-end Delay has been observed to be lower which ensure higher throughput in the network and improves the network life time.

scholarly journals Energy-efficient selection of cluster headers in wireless sensor networks

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876464 ◽  
Author(s):  
Adem Fanos Jemal ◽  
Redwan Hassen Hussen ◽  
Do-Yun Kim ◽  
Zhetao Li ◽  
Tingrui Pei ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Packet Loss ◽  
Energy Efficient ◽  
Low Energy ◽  
Wireless Sensor ◽  
Adaptive Clustering ◽  
End To End Delay ◽  
End To End

Clustering is vital for lengthening the lives of resource-constrained wireless sensor nodes. In this work, we propose a cluster-based energy-efficient router placement scheme for wireless sensor networks, where the K-means algorithm is used to select the initial cluster headers and then a cluster header with sufficient battery energy is selected within each cluster. The performance of the proposed scheme was evaluated in terms of the energy consumption, end-to-end delay, and packet loss. Our simulation results using the OPNET simulator revealed that the energy consumption of our proposed scheme was better than that of the low-energy adaptive clustering hierarchy, which is known to be an energy-efficient clustering mechanism. Furthermore, our scheme outperformed low-energy adaptive clustering hierarchy in terms of the end-to-end delay, throughput, and packet loss rate.

scholarly journals Machine Learning Techniques for Energy Efficiency and Anomaly Detection in Hybrid Wireless Sensor Networks

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3125
Author(s):  
Mohit Mittal ◽  
Rocío Pérez de Prado ◽  
Yukiko Kawai ◽  
Shinsuke Nakajima ◽  
José E. Muñoz-Expósito
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Anomaly Detection ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Support Vector ◽  
End To End Delay ◽  
Main Challenge ◽  
End To End

Wireless sensor networks (WSNs) are among the most popular wireless technologies for sensor communication purposes nowadays. Usually, WSNs are developed for specific applications, either monitoring purposes or tracking purposes, for indoor or outdoor environments, where limited battery power is a main challenge. To overcome this problem, many routing protocols have been proposed through the last few years. Nevertheless, the extension of the network lifetime in consideration of the sensors capacities remains an open issue. In this paper, to achieve more efficient and reliable protocols according to current application scenarios, two well-known energy efficient protocols, i.e., Low-Energy Adaptive Clustering hierarchy (LEACH) and Energy–Efficient Sensor Routing (EESR), are redesigned considering neural networks. Specifically, to improve results in terms of energy efficiency, a Levenberg–Marquardt neural network (LMNN) is integrated. Furthermore, in order to improve the performance, a sub-cluster LEACH-derived protocol is also proposed. Simulation results show that the Sub-LEACH with LMNN outperformed its competitors in energy efficiency. In addition, the end-to-end delay was evaluated, and Sub-LEACH protocol proved to be the best among existing strategies. Moreover, an intrusion detection system (IDS) has been proposed for anomaly detection based on the support vector machine (SVM) approach for optimal feature selection. Results showed a 96.15% accuracy—again outperforming existing IDS models. Therefore, satisfactory results in terms of energy efficiency, end-to-end delay and anomaly detection analysis were attained.

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