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Lifetime optimization for Wireless Sensor Networks
2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009In a Wireless Sensor Network (WSN), nodes are battery powered, therefore, there are energy constrained. Network lifetime is one of the most important characteristics of performance for wireless sensor networks. A number of routing schemes, energy efficient and energy-aware, have been proposed to maximize the network lifetime.
Ouadoudi Zytoune +2 more
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Maximization the lifetime of wireless sensor networks
2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA), 2015The technological developments in microelectronics have enabled the integration of capacity for realization of several important tasks for monitoring the environment in very small sensor named components with low cost and low power consumption. A sensor node detects environmental phenomenon to obtain data and transmits them to the sink via a single hop
Nouredine Seddiki, Amel Douli
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A Theory for Maximizing the Lifetime of Sensor Networks
IEEE Transactions on Communications, 2007An important issue in wireless sensor networks is the limited energy and bandwidth resources. A novel theory is developed here for maximizing the lifetime of unicast multihop wireless sensor networks. An optimal centralized solution is presented in the form of an iterative algorithm. The algorithm attempts to find a Pareto-optimal (PO) solution. In the
Joseph C. Dagher +2 more
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Node Lifetime - Network Lifetime Tradeoff for Data Gathering Trees in Wireless Sensor Networks
Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, 2015We study the performance of the bottleneck node weight-based data gathering trees (BNW-DG) and bottleneck link weight-based data gathering (BLW-DG) trees in wireless sensor networks (WSNs) through extensive simulations. The BNW-DG trees incur a smaller diameter and a significantly larger fraction of nodes as leaf nodes; whereas the BLW-DG trees incur a
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Upper bounds on the lifetime of sensor networks
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2002We ask a fundamental question concerning the limits of energy efficiency of sensor networks-what is the upper bound on the lifetime of a sensor network that collects data from a specified region using a certain number of energy-constrained nodes? The answer to this question is valuable for two main reasons.
Manish Bhardwaj +2 more
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Lifetime Maximization in Wireless Sensor Networks
International Journal of Wireless Networks and Broadband Technologies, 2011One of the fundamental requirements in wireless sensor networks (WSNs) is to prolong the lifetime of sensor nodes by minimizing the energy consumption. The information about the energy status of sensor nodes can be used to notify the base station about energy depletion in any part of the network.
Vivek Katiyar +2 more
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Lifetime Analysis in Heterogeneous Sensor Networks
9th EUROMICRO Conference on Digital System Design (DSD'06), 2006Wireless sensor networks (WSN) are composed of battery-driven communication entities performing multiple, usually different tasks. In order to complete a given task, all sensor nodes, which are deployed in an ad-hoc fashion, have to collaborate by exchanging and forwarding measurement data.
Falko Dressler, Isabel Dietrich
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Maximizing the wireless sensor networks lifetime
2016 11th International Conference for Internet Technology and Secured Transactions (ICITST), 2016The technological developments in microelectronics have enabled the integration of capacity for the achievement of several important tasks for monitoring the environment using very small components named sensors with low cost and low power consumption.
Nouredine Seddiki, Amel Douli
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Predicting route lifetime for maximizing network lifetime in MANET
2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET), 2012In wireless networks, generally nodes operate with batteries for its own normal operation like mobility, packet forwarding. These nodes tend to drain their energy even when it remains in idle mode. In MANETs, this exhaustion of energy will be more due to its infrastructureless nature and mobility.
C. Priyadharshini, K. ThamaraiRubini
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