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Journal ArticleDOI

Delay-Bounded Data Forwarding in Low-Duty-Cycle Sensor Networks

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TLDR
This paper proposes autility- based delay bounded scheme for data forwarding MaxOpUtility-based scheme, which offers the ability to increase reliability through relay nodes selection as well as to ensure the timeliness of messages sent within a designated time bound.
Abstract
In many sensor network applications, sink node needs to actively communicate with other sensor nodes in order to perform data forwarding operations. For those applications, there is usually adelay-bounded associated with them and require the messages sent to be received within a designated time bound. In energy harvesting sensor networks, limited energy from environment necessitates sensor nodes to operate at alow-duty-cycle. Sensor nodes work active briefly and stay asleep most of time. Such low-duty-cycle operation leads to communication delays in comparison with the always-active networks. In this paper, we address the data forwarding problems in an energy harvesting sensor network where energy efficiency and data freshness need to be balanced. To solve this problem, we propose autility-based delay bounded scheme for data forwarding MaxOpUtility-based scheme. MaxOpUtility scheme offers the ability to increase reliability through relay nodes selection as well as to ensure the timeliness. In add...

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Citations
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Journal ArticleDOI

A Ranging Model Based on BP Neural Network

TL;DR: The simulation results show that the ranging model based on BP neural network model can reduce the ranging error, which has the adaptability to the environment.
Journal ArticleDOI

Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks:

TL;DR: This article investigates the trade-off between energy consumption and latency and forms them into a multi-objective optimization problem and proposes two dynamic and adaptive medium access control algorithms for synchronous and asynchronous duty-cycled wireless sensor networks.
References
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Proceedings ArticleDOI

Delay efficient sleep scheduling in wireless sensor networks

TL;DR: This study aims to minimize the communication latency given that each sensor has a duty cycling requirement of being awake for only 1/k time slots on an average, and proposes algorithms that offer a desirable bound of d+O(k) on the delay for specialized topologies like the tree and grid and a weaker guarantee of O((d+k)log n) for arbitrary graphs.
Proceedings ArticleDOI

Opportunistic flooding in low-duty-cycle wireless sensor networks with unreliable links

TL;DR: Opportunistic Flooding is introduced, a novel design tailored for low-duty-cycle networks with unreliable wireless links and predetermined working schedules and achieves significantly shorter flooding delay while consuming only 20-60% of the transmission energy.
Proceedings ArticleDOI

Flexible power scheduling for sensor networks

TL;DR: A distributed on-demand power-management protocol for collecting data in sensor networks based on a novel, two-level architecture is proposed and shown how the protocol allows adaptive scheduling and enables a smooth trade-off between energy savings and latency.
Proceedings ArticleDOI

Probabilistic QoS guarantee in reliability and timeliness domains in wireless sensor networks

TL;DR: Simulation results show that MMSPEED provides QoS differentiation in both reliability and timeliness domains and, as a result, significantly improves the effective capacity of a sensor network in terms of number of flows that meet both reliabilityandTimeliness requirements.
Proceedings ArticleDOI

Data forwarding in extremely low duty-cycle sensor networks with unreliable communication links

TL;DR: Interestingly, it is revealed that allowing opportunistic looping can actually reduce the end-to-end delay of dynamic switch-based forwarding, and these are the most encouraging results to date in this new research direction.
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