A High-Speed Sensor Resources Allocation Method for Distributed WSN

Otsuka, Takanobu; Inamoto, Takuma; Torii, Yoshitaka; Ito, Takayuki

doi:10.1109/soca.2015.34

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…When the analysis of Link, Routing and MAC layer are performed then it will have multiple constraints like power allocation, link scheduling and energy dissipation which can be optimized using the cross-layer approach in order to minimize the ED which in turn can improve the NL [55]. For a water quality detection in rivers, WSN nodes are used is anomaly detection which requires more power which can be reduced by switching nodes between active and idle modes at the regular time [56]. UAV-mounted base stations (UBS's) [57] are used to provide services over a wireless network with few resources.…”

Section: G Resource Allocationmentioning

confidence: 99%

Reckoning Network Lifetime Ratio for Wireless Sensor Network

Saqhib¹,

S²

2019

IJITEE

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Advanced Technologies such as Internet of Things, Machine Networking give rise to the deployment of autonomous Wireless Sensor Nodes. They are used for various domains namely battlefield monitoring, enemy detection and monitoring the environment change. These Wireless Sensor Nodes have the properties of low cost and high battery life. NL (Network Lifetime) is an important phase of Wireless Sensor Network (WSNs), in which the nodes can maintain sensing for a more amount of time. NL can be improved by use of multiple techniques namely Opportunistic Transmission, Scheduling of Timed Data Packets, Clustering of Nodes, Energy Harvesting and Connectivity. This paper provides the energy consumption computation, life time ratio definition and the overview of NL improvement techniques. The paper also presents brief review of the Destination based and Source based routing algorithm

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Section: G Resource Allocationmentioning

confidence: 99%