Relevant bibliographies by topics / Sensor-node lifetime

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Sensor-node lifetime'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Sensor-node lifetime"

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Jung, Deokwoo, Thiago Teixeira, and Andreas Savvides. "Sensor node lifetime analysis." ACM Transactions on Sensor Networks 5, no. 1 (2009): 1–33. http://dx.doi.org/10.1145/1464420.1464423.

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Zainol Abidin, Husna, and Norashidah Md Din. "Sensor Node Placement in Wireless Sensor Network Based on Territorial Predator Scent Marking Algorithm." ISRN Sensor Networks 2013 (June 26, 2013): 1–7. http://dx.doi.org/10.1155/2013/170809.

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Optimum sensor node placement in a monitored area is needed for cost-effective deployment. The positions of sensor nodes must be able to provide maximum coverage with longer lifetimes. This paper proposed a sensor node placement technique that utilizes a new biologically inspired optimization technique that imitates the behaviour of territorial predators in marking their territories with their odours, known as territorial predator scent marking algorithm (TPSMA). The TPSMA deployed in this paper uses the maximum coverage objective function. A performance study has been carried out by comparing
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Moedjiono, Sardjoeni, and Aries Kusdaryono. "Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)." International Journal of Mobile Computing and Multimedia Communications 5, no. 1 (2013): 57–68. http://dx.doi.org/10.4018/jmcmc.2013010105.

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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
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Kosanovic, Mirko, and Mile Stojcev. "RPLL - Rendezvous protocol for long-living sensor node." Facta universitatis - series: Electronics and Energetics 28, no. 1 (2015): 85–102. http://dx.doi.org/10.2298/fuee1501085k.

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Sensor nodes (SNs), as constituents of wireless sensor network (WSN), are battery-powered not rechargeable devices and have limited amount of energy available. Since the lifetime of SNs is a crucial parameter for energy-efficient WSN design, it is essential to extend their lifetimes as much as possible. Here we propose a rendezvous scheme called Rendezvous Protocol for Long-Living SN, RPLL. This scheme is based on implementation of a duty-cycling technique. For each SN within WSN a unique identification number (ID) is allocated, thanks to which a collision problem is effectively remedied. The
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Ahmed, Mohammed M. "SALP Swarm Optimization Approach for Maximization The Lifetime of Wireless Sensor Network." Indian Journal of Data Communication and Networking 1, no. 2 (2021): 16–20. http://dx.doi.org/10.35940/ijdcn.b5006.041221.

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In recent years, the maximization of a lifetime for wireless sensor networks is considered an important area for researchers. The wireless sensor networks (WSNs) contain two types of sensors that called sensor nodes and sink nodes which sensor node send information to the central node (sink node) that collected its data. Choosing the best location of sink node considered the critical problem that faces the lifetime of wireless sensor networks. In this paper, we propose a method that choosing best location of a sink node by applying Salp Swarm Algorithm (SSA) after determining sink node locatio
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Karpagam, M., N. Nagarajan, J. Abiramiathavi, and K. Vijaipriya. "Analysis of EMCA, EFNR and HEFRN Algorithm in Wireless Sensor Networks." Applied Mechanics and Materials 550 (May 2014): 102–9. http://dx.doi.org/10.4028/www.scientific.net/amm.550.102.

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One of the main challenges of wireless sensor network is maximization of the lifetime of the sensor node. Since the energy efficiency determines the lifetime of a sensor node, power consumption of the sensing device should be minimized. To conserve power, sensor node should shut off the power supply when not in use. In this paper, we analyze the performance of energy efficient algorithms namely enhanced fault node regaining (EFNR) algorithm, energy – efficient mobile-sink clustering algorithm (EMCA) and a relay node routing technique to High Energy First (HEFRN) clustering algorithm.
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Wang, Zhangquan, Yourong Chen, Banteng Liu, Haibo Yang, Ziyi Su, and Yunkai Zhu. "A sensor node scheduling algorithm for heterogeneous wireless sensor networks." International Journal of Distributed Sensor Networks 15, no. 1 (2019): 155014771982631. http://dx.doi.org/10.1177/1550147719826311.

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To improve the regional coverage rate and network lifetime of heterogeneous wireless sensor networks, a sensor node scheduling algorithm for heterogeneous wireless sensor networks is proposed. In sensor node scheduling algorithm, heterogeneous perception radius of sensor node is considered. Incomplete coverage constraint and arc coverage interval are analyzed. Regional coverage increment optimization model, arc coverage increment optimization model, and residual energy optimization model are proposed. Multi-objective scheduling model is established using weight factors and integrated function.
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MANJUNATHA, P., A. K. VERMA, and A. SRIVIDYA. "ROUTING PATH OPTIMIZAION TO MAXIMIZE THE LIFETIME OF WIRELESS SENSOR NETWORK." International Journal of Reliability, Quality and Safety Engineering 16, no. 06 (2009): 509–20. http://dx.doi.org/10.1142/s021853930900354x.

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Wireless sensor network (WSN) consists of a large number of sensor nodes which are able to sense their environment and communicate with each other using wireless interface. However these sensor nodes are constrained in energy capacity. The lifetimes of sensor node and sensor network mainly depends upon these energy resources. To increase the life time of sensor network, many approaches have been proposed to optimize the energy usage. All these proposed protocols mainly use minimum hop or minimum energy path. Continuously using the shortest path will deplete energy of the nodes at a much faster
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Xu, Yun, Wanguo Jiao, and Mengqiu Tian. "Energy-Efficient Connected-Coverage Scheme in Wireless Sensor Networks." Sensors 20, no. 21 (2020): 6127. http://dx.doi.org/10.3390/s20216127.

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In the wireless sensor network, the lifetime of the network can be prolonged by improving the efficiency of limited energy. Existing works achieve better energy utilization, either through node scheduling or routing optimization. In this paper, an efficient solution combining node scheduling with routing protocol optimization is proposed in order to improve the network lifetime. Firstly, to avoid the redundant coverage, a node scheduling scheme that is based on a genetic algorithm is proposed to find the minimum number of sensor nodes to monitor all target points. Subsequently, the algorithm p
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Rukpakavong, Wilawan, Lin Guan, and Iain Phillips. "Dynamic Node Lifetime Estimation for Wireless Sensor Networks." IEEE Sensors Journal 14, no. 5 (2014): 1370–79. http://dx.doi.org/10.1109/jsen.2013.2295303.

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Dissertations / Theses on the topic "Sensor-node lifetime"

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Sakib, Kazi Muheymin-Us, and s3091580@rmit edu au. "Energy Balanced Sensor Node Organisation For Maximising Network Lifetime." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080805.135709.

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Recent advances in Micro-Electro-Mechanical Systems (MEMS) and low-power short-range radios have enabled rapid development of wireless sensor networks. Future sensor networks are anticipated to include hundreds or thousands of these devices in many applications, such as capturing multimedia content for surveillance, structural health monitoring, tracking of accidental chemical leaks, machine failures, earthquakes and intrusion detection. With the increase of sensor applications, a number of challenging problems related to the network protocol design has emerged - the most important ones
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Boyd, Alan W. F. "Node reliance : an approach to extending the lifetime of wireless sensor networks." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/1295.

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A Wireless Sensor Network (WSN) consists of a number of nodes, each typically having a small amount of non-replenishable energy. Some of the nodes have sensors, which may be used to gather environmental data. A common network abstraction used in WSNs is the (source, sink) architecture in which data is generated at one or more sources and sent to one or more sinks using wireless communication, possibly via intermediate nodes. In such systems, wireless communication is usually implemented using radio. Transmitting or receiving, even on a low power radio, is much more energy-expensive than other
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Lukachan, George. "Scalable energy-efficient location aided routing (SELAR) protocol for wireless sensor networks." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001366.

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Mahfoudh, Saoucene. "Energy efficiency in wireless ad hoc and sensor networks : routing, node activity scheduling and cross-layering." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00757251.

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In this thesis, we consider wireless ad hoc and sensor networks where energy matters. Indeed, sensor nodes are characterized by a small size, a low cost, an advanced communication technology, but also a limited amount of energy. This energy can be very expensive, difficult or even impossible to renew. Energy efficient strategies are required in such networks to maximize network lifetime. We distinguish four categories of strategies: 1. Energy efficient routing, 2. Node activity scheduling, 3. Topology control by tuning node transmission power and 4. Reduction of the volume of information trans
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Kosar, Onur. "Query Based Energy Efficient Clustering Methods For Wireless Sensor Networks." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613516/index.pdf.

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In Wireless Sensor Networks, designing a low overhead routing protocol is crucial for prolonging network lifetime. Wireless sensor nodes depend on limited batteries and if they run out of battery, they cannot contribute to the sensing. There are lots of studies aimed at prolonging network lifetime. One of the methods to extend life time of the wireless sensor networks is clustering. In clustering approaches main aim is to prevent unnecessary messaging and decrease number of messages exchanged by aggregating messages. Clustering also contributes to prolong network life time by ruling the child
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Rimer, Suvendi Chinnappen. "Energy efficient communication models in wireless sensor and actor networks." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/23253.

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Sensor nodes in a wireless sensor network (WSN) have a small, non-rechargeable power supply. Each message transmission or reception depletes a sensor node’s energy. Many WSN applications are ad-hoc deployments where a sensor node is only aware of its immediate neighbours. The lack of a predefined route path and the need to restrict the amount of communication that occurs within the application area impose constraints on WSNs not prevalent in other types of networks. An area of active research has been how to notify the central sink (or monitoring hub) about an event in real-time by utilising t
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Li, Zhitan. "The Optimization of Solar Energy Harvesting in WSN." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35560.

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In recent year, wireless sensor networks have gradually become an indispensable part of people's daily lives. Energy consumption and energy harvesting play an important role in these systems. In outdoor, there is no doubt that solar energy is more suitable to powering the wireless sensor nodes. Although the energy consumption of these systems has been greatly reduced and the lifetime of sensor nodes also be improved through the larger capacity of supercapacitor or larger size of solar panel. But it will generate another kind of squander, how to choose a suitable solar panel and supercapacitor
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Baydogan, Mustafa Gokce. "Energy Efficient Coverage And Connectivity Problem In Wireless Sensor Networks." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609688/index.pdf.

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In this thesis, we study the energy efficient coverage and connectivity problem in wireless sensor networks (WSNs). We try to locate heterogeneous sensors and route data generated to a base station under two conflicting objectives: minimization of network cost and maximization of network lifetime. We aim at satisfying connectivity and coverage requirements as well as sensor node and link capacity constraints. We propose mathematical formulations and use an exact solution approach to find Pareto optimal solutions for the problem. We also develop a multiobjective genetic algorithm to approximate
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Kadhum, Hamza. "Enhancing Zigbee Security for Industrial Implementation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279559.

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Zigbee network is a popular choice for deploying low power personal area network (LoWPAN). The application areas vary but the most popular are industrial area monitoring and home automation. But Zigbee has been identified to have weak security and is not applicable for industrial implementation. This paper is collaboration with Ericsson to investigate Zigbee network security and implementation. This paper will cover security solutions for Zigbee and touch on how to configure Zigbee network such that it can operate for a long period of time without battery changes. The security solutions will d
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Oyeyele, Olawoye A. "A robust node selection strategy for lifetime extension in wireless sensor networks." 2004. http://etd.utk.edu/2004/OyeyeleOlawoye.pdf.

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Thesis (M.S.)--University of Tennessee, Knoxville, 2004.<br>Title from title page screen (viewed Sept. 27, 2004). Thesis advisor: Hairong Qi. Document formatted into pages (ix, 105 p. : ill. (some col.)). Vita. Includes bibliographical references (p. 89-97).
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Book chapters on the topic "Sensor-node lifetime"

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Somov, Andrey, Christine C. Ho, Roberto Passerone, James W. Evans, and Paul K. Wright. "Towards Extending Sensor Node Lifetime with Printed Supercapacitors." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28169-3_14.

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Park, Sangjoon, Sok-Pal Cho, and Byunggi Kim. "A Grid Routing Scheme Considering Node Lifetime in Ubiquitous Sensor Networks." In Emerging Directions in Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11807964_104.

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Li, Qiaoqin, Mei Yang, Yan Jin, Jun Zheng, Yingtao Jiang, and Jiazhi Zeng. "Load-Similar Node Distribution for Prolonging Network Lifetime in PMRC-Based Wireless Sensor Networks." In Communication and Networking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10844-0_45.

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Tam, Nguyen Thi, Huynh Thi Thanh Binh, Tran Huy Hung, Dinh Anh Dung, and Le Trong Vinh. "Prolong the Network Lifetime of Wireless Underground Sensor Networks by Optimal Relay Node Placement." In Applications of Evolutionary Computation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16692-2_30.

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Zaheeruddin, Aruna Pathak, and Manoj Kumar Tiwari. "Prolonging the Lifetime of Wireless Sensor Network by Exponential Node Distribution and Ant-colony Optimization Routing." In Lecture Notes in Electrical Engineering. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6154-8_69.

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Lodhi, Amairullah Khan, M. S. S. Rukmini, Syed Abdulsattar, and Shaikh Zeba Tabassum. "Lifetime Enhancement Based on Energy and Buffer Residual Status of Intermediate Node in Wireless Sensor Networks." In Advances in Automation, Signal Processing, Instrumentation, and Control. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_257.

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Shi, Gaotao, Jia Zeng, Chunfeng Liu, and Keqiu Li. "Minimize Residual Energy of the 3-D Underwater Sensor Networks with Non-uniform Node Distribution to Prolong the Network Lifetime." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00916-8_59.

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Jung, Deokwoo, Thiago Teixeira, Andrew Barton-Sweeney, and Andreas Savvides. "Model-Based Design Exploration of Wireless Sensor Node Lifetimes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69830-2_18.

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Khan, Bilal Muhammad, and Rabia Bilal. "Fuzzy-Topsis-Based Cluster Head Selection in Mobile Wireless Sensor Networks." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch029.

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One of the critical and vital parameter of Wireless Sensor Networks (WSNs) is its lifetime. There are various methods to increase WSN lifetime, clustering technique is one of them. In clustering, selection of desired percentage of Cluster Head (CHs) is performed among the sensor nodes (SNs). Selected CHs are responsible to collect data from its member nodes, aggregates the data and finally send to the sink. In this chapter, Fuzzy-TOPSIS techniques based on multi criteria decision making to choose CH efficiently and effectively to maximize the WSN lifetime are presented. These five criteria includes; residual energy, node energy consumption rate, number of neighbor nodes, average distance between neighboring nodes and distance from sink. Threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. Moreover impact of node density and different type mobility strategies are presented in order to investigate impact over WSN lifetime.
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Chawra, Vrajesh Kumar, and Govind P. Gupta. "Salp." In Advances in Computer and Electrical Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1626-3.ch003.

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The formation of the unequal clusters of the sensor nodes is a burning research issue in wireless sensor networks (WSN). Energy-hole and non-uniform load assignment are two major issues in most of the existing node clustering schemes. This affects the network lifetime of WSN. Salp optimization-based algorithm is used to solve these problems. The proposed algorithm is used for cluster head selection. The performance of the proposed scheme is compared with the two-node clustering scheme in the term of residual energy, energy consumption, and network lifetime. The results show the proposed scheme outperforms the existing protocols in term of network lifetime under different network configurations.
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Conference papers on the topic "Sensor-node lifetime"

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Kosanovic, Mirko, and Mile Stojcev. "Sensor node lifetime prolonging." In 2012 20th Telecommunications Forum Telfor (TELFOR). IEEE, 2012. http://dx.doi.org/10.1109/telfor.2012.6419177.

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Hoang Anh Nguyen, Anna Forster, Daniele Puccinelli, and Silvia Giordano. "Sensor node lifetime: An experimental study." In 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2011. http://dx.doi.org/10.1109/percomw.2011.5766869.

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Meghanathan, Natarajan. "Node Lifetime - Network Lifetime Tradeoff for Data Gathering Trees in Wireless Sensor Networks." In IPAC '15: International Conference on Intelligent Information Processing, Security and Advanced Communication. ACM, 2015. http://dx.doi.org/10.1145/2816839.2816905.

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Vijayasree, S. V., A. Pravin Renold, and V. Saravanan. "Node lifetime assessment based routing for wireless sensor networks." In 2015 Global Conference on Communication Technologies (GCCT). IEEE, 2015. http://dx.doi.org/10.1109/gcct.2015.7342656.

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Sakib, Kazi, Zahir Tari, and Peter Bertok. "Failed node replacement policies for maximising sensor network lifetime." In 2011 6th International Symposium on Wireless and Pervasive Computing (ISWPC). IEEE, 2011. http://dx.doi.org/10.1109/iswpc.2011.5751310.

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Pughat, Anuradha, and Vidushi Sharma. "Stochastic model for lifetime improvement of wireless sensor node." In 2015 Eighth International Conference on Contemporary Computing (IC3). IEEE, 2015. http://dx.doi.org/10.1109/ic3.2015.7346718.

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Zebbane, Bahia, Manel Chenait, and Nadjib Badache. "Exploiting node redundancy for maximizing wireless sensor network lifetime." In 2013 IFIP Wireless Days (WD). IEEE, 2013. http://dx.doi.org/10.1109/wd.2013.6686446.

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Piotrowski, Krzysztof, Peter Langendoerfer, and Steffen Peter. "How public key cryptography influences wireless sensor node lifetime." In the fourth ACM workshop. ACM Press, 2006. http://dx.doi.org/10.1145/1180345.1180366.

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Wang Bo, Qin Ya-juan, Ren Yan, Yang Dong, and Zhang Si-dong. "Predictive lifetime-based node management in wireless sensor networks." In IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061217.

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Hou, Y. T., Yi Shi, and H. D. Sherali. "On lexicographic max-min node lifetime for wireless sensor networks." In 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577). IEEE, 2004. http://dx.doi.org/10.1109/icc.2004.1313262.

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