Relevant bibliographies by topics / Energy-Efficient Routing (EER)

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  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Energy-Efficient Routing (EER)'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Energy-Efficient Routing (EER)"

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Mutombo, Vially Kazadi, Seungyeon Lee, Jusuk Lee, and Jiman Hong. "EER-RL: Energy-Efficient Routing Based on Reinforcement Learning." Mobile Information Systems 2021 (April 19, 2021): 1–12. http://dx.doi.org/10.1155/2021/5589145.

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Wireless sensor devices are the backbone of the Internet of things (IoT), enabling real-world objects and human beings to be connected to the Internet and interact with each other to improve citizens’ living conditions. However, IoT devices are memory and power-constrained and do not allow high computational applications, whereas the routing task is what makes an object to be part of an IoT network despite of being a high power-consuming task. Therefore, energy efficiency is a crucial factor to consider when designing a routing protocol for IoT wireless networks. In this paper, we propose EER-RL, an energy-efficient routing protocol based on reinforcement learning. Reinforcement learning (RL) allows devices to adapt to network changes, such as mobility and energy level, and improve routing decisions. The performance of the proposed protocol is compared with other existing energy-efficient routing protocols, and the results show that the proposed protocol performs better in terms of energy efficiency and network lifetime and scalability.
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Jayalakshmi, D. S., D. Hemanand, G. Muthu Kumar, and M. Madhu Rani. "An Efficient Route Failure Detection Mechanism with Energy Efficient Routing (EER) Protocol in MANET." International Journal of Computer Network and Information Security 13, no. 2 (2021): 16–28. http://dx.doi.org/10.5815/ijcnis.2021.02.02.

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Mobile ad-hoc network (MANET) is a network with two or more number of nodes with restricted energy constraint. The high dynamic nature in MANET attracts needs to consider the energy efficient features in their construct. The routing protocol is an important criterion to be considered for evaluating the performance of the MANET. Energy consumption plays vital role in MANET. Hence designing the scheme that supports energy efficient is much needed for the high dynamic MANET environment concerned. This paper proposes the Energy Efficient Routing (EER) protocol based on efficient route failure detection. The Scope of this paper is to suggest a fresh routing procedure for Mobile Adhoc Network minimizes unsuccessful communication. The projected procedure practices three important criterions to locate the path that assure authentic communication. The channel caliber, connection caliber and node’s residual energy is important reason for the failure of the node in MANET. Hence, the suggested routing mechanism believes these three different parameters to choose the finest node in the route. The reliable transmission and reception are attained by transferring information through route nominated by the suggested system verified by means of NS-2 simulator.
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Lokesh, Deepika, and N. V. Uma Reddy. "Energy Efficient Routing Design for Target Tracking in Wireless Sensor Network." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (June 21, 2022): 132–37. http://dx.doi.org/10.37394/23209.2022.19.13.

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The wireless sensor networks (WSNs) provides an advance way for connection of various applications. Most of the applications use the wireless sensor network to transmit the information from the device to the main base station. The main operation of the wireless sensor network is to first sense the data using the sensor, then collect the data and finally transmit to the required base station. The data is transmitted in a timely manner such that the other wireless sensor network transmitting the information should not have any problem. During the transmission of the data the main objective of the wireless sensor network device is to provide reliability to the information which is being sent with less latency and to reduce the energy consumption in order to increase the lifespan of the wireless sensor network. Therefore, this paper presents an Energy Efficient Routing for the Target Tracking (EER-TT) in the wireless sensor network which provides reliability, less latency and reduces the energy consumption during the transmission of the information to the base station. Proposed model also provides a cluster selection method for the routing of the wireless sensor network devices. The results attained show that our model EER-TT shows better results when compared with the existing routing-based models.
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Mutombo, Vially Kazadi, Seungyeon Lee, Jusuk Lee, and Jiman Hong. "Corrigendum to “EER-RL: Energy-Efficient Routing Based on Reinforcement Learning”." Mobile Information Systems 2021 (June 4, 2021): 1. http://dx.doi.org/10.1155/2021/9817562.

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Kiani, Farzad. "EER-AL: AN ENERGY EFFICIENT ROUTING PROTOCOL BASED ON AUTOMATED LEARNING METHOD." ICTACT Journal on Communication Technology 9, no. 2 (2018): 1798–803. http://dx.doi.org/10.21917/ijct.2018.0263.

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Dawod, et. al., Adnan Yousif. "A novel nomadic people optimizer-based energy-efficient routing for WBAN." Periodicals of Engineering and Natural Sciences (PEN) 11, no. 3 (2023): 97–108. https://doi.org/10.21533/pen.v11.i3.137.

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In response to user demand for wearable devices, several WBAN deployments now call for effective communication processes for remote data monitoring in real time. Using sensor networks, intelligent wearable devices have exchanged data that has benefited in the evaluation of possible security hazards. If smart wearables in sensor networks use an excessive amount of power during data transmission, both network lifetime and data transmission performance may suffer. Despite the network's effective data transmission, smart wearable patches include data that has been combined from several sources utilizing common aggregators. Data analysis requires careful network lifespan control throughout the aggregation phase. By using the Nomadic People Optimizer-based Energy-Efficient Routing (NPO-EER) approach, which effectively allows smart wearable patches by minimizing data aggregation time and eliminating routing loops, the network lifetime has been preserved in this research. The obtained findings showed that the NPO method had a great solution. Estimated Aggregation time, Energy consumption, Delay, and throughput have all been shown to be accurate indicators of the system's performance.
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Sivasubramanian, Karthikeyini S., and Shankar S. Subramaniam. "ADAPTIVE ROUTING SCHEME FOR RELIABLE COMMUNICATION IN VEHICULAR AD-HOC NETWORK (VANET)." Transport 35, no. 4 (2020): 357–67. http://dx.doi.org/10.3846/transport.2020.12053.

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In a wireless communication system, due to the presence of the surrounding objects, the amplitude of the received signal rapidly changes by reflection, diffraction, and scattering and noise is added to the received signal. This prompts multipath fading and interference, which affects the quality of communication. The proposed Adaptive Routing Scheme (ARS) considers the algorithm Reliable Routing (RR) using Average Bit Error Rate expressed in Nakagami-m fading channel (ABERN-m) to predict the quality of the link, the Energy Efficient Routing (EER) calculates Remaining Battery Energy (RBE) to extend the network lifetime. The Canberra Distance Measure (CDM) is used instead of Euclidean Distance Measure (EDM) to improve the accuracy of distance measurement in mobile nodes. The aim of the proposed scheme is to predict the best optimal path and maintain the consistent path to enhance the Quality of Service (QoS) in real-time communication to improve efficient traffic on the road.
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S.R, Hemanth, and Sanjay Pande M.B. "RELIABLE ROUTING OF EMERGENCY DATA IN WIRELESS BODY AREA NETWORKS UNDER STATIC AND MOBILE SCENARIOS." International Journal of Advanced Research 10, no. 06 (2022): 261–76. http://dx.doi.org/10.21474/ijar01/14884.

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Timely intervention can help save precious lives of people who are at risk from chronic diseases or fatal diseases such as cardiac arrest, heart diseases to mention a few. These are the major causes of disability and death across the globe. Continuous monitoring of vital body parameters can be useful in timely intervention which can save the lives of the patients suffering from chronic diseases which can be life threatening, also improve the quality of life. This can be done using Wireless Body Area Networks (WBAN) with sensors placed on human body. This network uses routing protocol to transmit the sensed data packets to the destination node. if the detected information falls into the category of emergency data, It is critical for sensor nodes to transmit data in a reliable and timely manner while consuming as little energy as possible. Existing protocols propose routing methods that classify traffic and prioritize emergency data transmission. However, apart from traffic classification, robust measures to reduce the loss of emergency packets at various levels during transmission have not been adequately addressed. This can reduce the reliability of emergency data, also increasing the traffic load and energy consumption in forwarder nodes. This shortcoming drives us to propose a routing protocol EER-QR (Energy Efficient Routing with QoS and Reliability) which uses specialized modules with measures for a specific task. Experimental results have demonstrated that EER-QR is Capable of reliably transmitting emergency data, minimizing network load and therefore extending network lifetime. This can help with proper diagnosis in such critical situations resulting in timely intervention and treatment saving the lives of patients.
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Jayachandran, J., and K. Vimala Devi. "EER-CGHHOA: A Hybrid Genetic Algorithm Driven Dynamic Clustering for Energy Efficient Routing in Border Surveillance WSNs." IEEE Access 12 (2024): 108185–200. http://dx.doi.org/10.1109/access.2024.3438191.

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S. R, Hemanth, and SanjayPande M. B. Dr. "ENERGY EFFICIENT ROUTING PROTOCOL FOR WIRELESS BODY AREA NETWORKS (EER-W) USING COST COMPUTATION AND CONTROLLED HELLO PACKET BROADCAST." Indian Journal of Computer Science and Engineering 12, no. 1 (2021): 65–78. http://dx.doi.org/10.21817/indjcse/2021/v12i1/211201152.

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Dissertations / Theses on the topic "Energy-Efficient Routing (EER)"

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Diratie, Eyassu Dilla. "Hybrid internet of things network for energy-efficient video surveillance system." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG066.

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Les réseaux de capteurs visuels sans fil basés sur les réseaux maillés IEEE 802.11 sont des solutions efficaces et adaptées aux systèmes de vidéosurveillance pour surveiller les intrusions dans des zones sélectionnées. Les réseaux de capteurs visuels basés sur IEEE 802.11 offrent des transmissions vidéo à haut débit mais souffrent de problèmes d'inefficacité énergétique. De plus, la transmission vidéo dans les réseaux de capteurs visuels nécessite une qualité de service (QoS) stricte en termes de bande passante et de délai. En outre, il est difficile de réduire la consommation énergétique globale du réseau tout en garantissant une qualité de service garantie en termes de bande passante et de délai dans les réseaux de capteurs visuels sans fil à énergie limitée. La principale contribution de cette thèse est de fournir un réseau de vidéosurveillance économe en énergie sans compromettre l'exigence de qualité de service de la transmission vidéo. Premièrement, nous proposons une nouvelle architecture de réseau hybride IoT pour un système de vidéosurveillance qui détecte et suit un intrus dans la zone de surveillance. Le réseau IoT hybride intègre les réseaux de capteurs visuels multi-sauts basés sur IEEE 802.11 et le réseau LoRa pour fournir un système de vidéosurveillance autonome, économe en énergie et à haut débit. Tirant parti des caractéristiques du réseau LoRa, le réseau LoRa est utilisé comme un réseau toujours actif pour la détection et le suivi préliminaires des mouvements. De plus, le réseau LoRa décide également quels nœuds de capteurs visuels réveiller en fonction des informations de suivi. Le filtre de Kalman est étudié pour suivre la trajectoire de l'intrus à partir des mesures de bruit des capteurs de mouvement à faible puissance afin d'activer uniquement les nœuds de capteurs visuels le long de la trajectoire de l'intrus pour fournir une surveillance vidéo efficace. Nous avons montré par simulation que le filtre de Kalman estime et prédit la trajectoire de l'intrus avec une précision raisonnable. De plus, l'approche de réseau hybride IoT proposée réduit considérablement la consommation d'énergie par rapport à un réseau de capteurs visuels à un seul niveau de surveillance continue traditionnelle et toujours active. Ensuite, la contribution de cette thèse se concentre sur un mécanisme de routage sensible à l'énergie et QoS pour le réseau de capteurs visuels multi-sauts basé sur IEEE 802.11 du réseau hybride IoT. Nous proposons un algorithme de routage qui route un ensemble de flux vidéo vers la passerelle avec une QoS garantie en termes de bande passante et de délai tout en minimisant le nombre de nœuds capteurs visuels impliqués dans le routage. Cela maximise le nombre de nœuds pouvant être complètement désactivés pour optimiser la consommation énergétique globale du réseau sans compromettre les performances QoS. Le problème de routage proposé est formulé comme un programme linéaire entier (ILP) et résolu à l'aide d'un algorithme branch-and-bound. Grâce à la simulation informatique, les performances de l'approche proposée sont comparées aux algorithmes de routage de pointe existants dans la littérature. Les résultats montrent clairement que le mécanisme proposé permet d'économiser une quantité significative de la consommation d'énergie globale tout en garantissant la QoS en termes de bande passante et de délai<br>Wireless visual sensor networks based on IEEE 802.11 mesh networks are effective and suitable solutions for video surveillance systems in monitoring intrusions in selected areas. The IEEE 802.11-based visual sensor networks offer high bit rate video transmissions but suffer from energy inefficiency issues. Moreover, the video transmission in the visual sensor networks requires strict quality of service (QoS) in terms of bandwidth and delay. Also, it is challenging to decrease the overall energy consumption of the network while assuring guaranteed QoS in terms of bandwidth and delay in energy-constrained wireless visual sensor networks. The main contribution of this dissertation is to provide an energy-efficient video surveillance network without compromising the QoS requirement of video transmission. First, we propose a new hybrid IoT network architecture for a video surveillance system that detects and tracks an intruder in the monitoring area. The hybrid IoT network integrates the IEEE 802.11-based multi-hop visual Sensor Networks and LoRa network to provide an autonomous, energy-efficient, high-bitrate video surveillance system. Leveraging the LoRa network characteristics, the LoRa network is utilized as an always-active network for preliminary motion detection and tracking. Moreover, the LoRa network also decides which visual sensor nodes to wake up depending on the tracking information. The Kalman filter is investigated to track the intruder's trajectory from noise measurements of low-power motion sensors to activate only the visual sensor nodes along the intruder's trajectory to provide effective video vigilance. We showed through simulation that Kalman filter estimates and predicts intruder trajectory with reasonable accuracy. Moreover, the proposed hybrid IoT network approach reduces energy consumption significantly compared with a traditional, always active continuous monitoring single-tier visual sensor network. Next, the contribution of this dissertation focuses on an energy-aware and QoS routing mechanism for the IEEE 802.11-based multi-hop visual sensor network of the hybrid IoT network. We propose a routing algorithm that routes a set of video streams to the gateway with guaranteed QoS in terms of bandwidth and delay while minimizing the number of visual sensor nodes that are involved in routing. This maximizes the number of nodes that can be turned off completely to optimize the overall energy consumption of the network without compromising QoS performance. The proposed routing problem is formulated as an Integer Linear Program (ILP) and solved using the branch-and-bound algorithm. Through computer simulation, the performance of the proposed approach is compared with the existing state-of-the-art routing algorithms from the literature. The results clearly show that the proposed mechanism saves a significant amount of the overall energy consumption while guaranteeing QoS in terms of bandwidth and delay
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Book chapters on the topic "Energy-Efficient Routing (EER)"

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Yao, Xin-Wei, Ye-Chen-Ge Wu, Yuan Yao, Chu-Feng Qi, and Wei Huang. "EECR: Energy-Efficient Cooperative Routing for EM-Based Nanonetworks." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30949-7_4.

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Joshi, Sachidananda S., and Sangappa Ramachandra Biradar. "EERP: Energy-Efficient Routing Protocol Performance Analysis of DSR and AODV for Mobile Adhoc Network." In Lecture Notes in Networks and Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1624-5_2.

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Dey, Prasenjit, and Arnab Gain. "A Survey on Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithms." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7524-9.ch015.

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Wireless sensor network (WSN) consists of sparsely distributed, low energy, and bandwidth sensor nodes that collect sensed data. In WSNs, these data are initially converted from analog to digital signals and transmitted to base stations. Routing in WSNs is the process of determining the most efficient path for data transmission among various sensor nodes. In routing, small sensor nodes use limited network bandwidth and energy to capture and transmit a limited amount of data. However, with the advancement of big data and IoT, large-scale sensors are used to route massive amounts of data. Routing with this huge data consumes a lot of network bandwidth and energy and thus reduces the lifespan of the network. Thus, for energy-efficient routing (EER), there is a need for data optimization that can be achieved by many machine learning (ML) algorithms. Many researchers have devised various noteworthy works related to ML to have an EER in WSNs. This chapter reviews the existing ML-based routing algorithms in WSNs.
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El Alami, Hassan, and Abdellah Najid. "EEA." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch035.

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The data communication task, in wireless sensor networks (WSNs), is a major issue of high energy consumption. A hierarchical design based on a clustering algorithm is one of the approaches to manage the data communication and save energy in WSNs. However, most of the previous approaches based on clustering algorithms have not considered the length of the data communication path, which is a direct relation to energy consumption in WSNs. In this article, a novel scheme of a clustering algorithm has been proposed for reducing the data communication distance in WSNs. Hierarchical routing protocols were implemented for homogeneous and heterogeneous networks. The results show that the proposed scheme is more efficient than other protocols.
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Ankur and Ajay K. Sharma. "Optimal Election Unequal Clustering Routing Protocol with Improved Tradeoff Function for Wireless Sensor Networks." In IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815049480124060006.

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In today's technological landscape, IoT-enabled Wireless Sensor Networks (WSNs) offer significant advantages over traditional networks, particularly when it is used under critical applications. However, network devices are typically limited in terms of their energy source; energy optimization has become a major concern in recent years. As a result, energy-efficient protocols are increasingly being prioritized to extend the network's functionality for a long period. In this chapter, we introduce a clustering routing protocol that operates on an unequal clustering basis. The protocol selects the best route for transmitting data to the sink based on various factors, such as the average residual energy of path sensor nodes, the average distance between nodes, the maximal distance nodes in the current path, and the number of hops. Our simulation results show that the proposed Optimal Energy Unequal Clustering Routing (OEUCR) protocol provides a significant improvement over the existing Energy Efficient Routing Protocol (EERP). Furthermore, we propose an optimal election clustering protocol that provides a new trade-off function based on near density factor and elect metric. Our simulation outcomes demonstrate that this protocol increases the network's functional duration by 6 rounds, reduces energy consumption by 0.727 J per round, and allows the base station to receive 975 more messages. Specifically, the packets received by the base station (BS) increased by 23%, while energy consumption decreased by 21% when using OEUCR instead of EERP.
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Conference papers on the topic "Energy-Efficient Routing (EER)"

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Natarajan, Ramkumar, S. Ramalingam, M. A. Amarnath, P. Tamil Selvi, Boopathy S, and S. Ravi. "An Efficient Sparrow Search Algorithm based Clustering and Energy Efficient Opportunistic Routing Protocol (EEOR) for Wireless Sensor Network." In 2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC). IEEE, 2024. https://doi.org/10.1109/icicec62498.2024.10808501.

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Banerjee, I., P. Chanak, B. K. Sikdar, and H. Rahaman. "EER: Energy Efficient Routing in Wireless Sensor Networks." In 2011 IEEE Students' Technology Symposium (TechSym). IEEE, 2011. http://dx.doi.org/10.1109/techsym.2011.5783808.

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Zhang, Haibo, and Hong Shen. "EEGR: Energy-Efficient Geographic Routing inWireless Sensor Networks." In 2007 International Conference on Parallel Processing (ICPP 2007). IEEE, 2007. http://dx.doi.org/10.1109/icpp.2007.37.

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Shah, Nasir Fareed, Amritanjali, Shefali Gautam, and D. Gosain. "EERA: Energy efficient reliable routing algorithm for WSN." In 2016 1st India International Conference on Information Processing (IICIP). IEEE, 2016. http://dx.doi.org/10.1109/iicip.2016.7975384.

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Yong, Ding, and Qin Xiao-Ming. "EERM: Energy Efficient Routing Metric for Wireless Sensor Networks." In 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA 2010). IEEE, 2010. http://dx.doi.org/10.1109/pcspa.2010.50.

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Muhammad, Nadeem Javaid, Sheraz Hussain, Taimur Hafeez, Hammad Maqsood, and Syed Zarar. "EEHR: Energy Efficient Hybrid Routing Protocol for Underwater WSNs." In 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2015. http://dx.doi.org/10.1109/bwcca.2015.86.

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Younus, Munazza, Abid Ali Minhas, M. Younus Javed, and Atif Naseer. "EEAR: Efficient Energy Aware Routing in wireless sensor networks." In Knowledge Engineering 2009). IEEE, 2009. http://dx.doi.org/10.1109/ictke.2009.5397333.

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ul Huque, Md Tanvir Ishtaique, Kumudu S. Munasinghe, Mehran Abolhasan, and Abbas Jamalipour. "EAR-BAN: Energy efficient adaptive routing in Wireless Body Area Networks." In 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2013. http://dx.doi.org/10.1109/icspcs.2013.6723991.

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Lee, Kyuhong, and Heesang Lee. "EECR: Energy efficient clustering and routing approach for wireless sensor networks." In 2011 Second Asian Himalayas International Conference on Internet (AH-ICI). IEEE, 2011. http://dx.doi.org/10.1109/ahici.2011.6113941.

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Zhang, Ming, Suoping Wang, Chao Liu, and Huibin Feng. "An Novel Energy-Efficient Minimum Routing Algorithm (EEMR) in Wireless Sensor Networks." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.941.

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