On the Design of a Water Quality Wireless Sensor Network (WQWSN): An Application to Water Quality Monitoring in Malawi

Zennaro, Marco; Floros, Athanasios; Doğan, Gökhan; Sun, Tao; Cao, Zhichao; Huang, Chen; Bahader, Manzoor; Ntareme, Hervé; Bagula, Antoine

doi:10.1109/icppw.2009.57

Cited by 45 publications

(34 citation statements)

References 2 publications

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“…Additionally, a weekly calibration of the network must be done to get correct results [23]. Furthermore, there is a possibility that one or more nodes of the network doesn't function any more.…”

Section: Use Casementioning

confidence: 99%

“…Furthermore, there is a possibility that one or more nodes of the network doesn't function any more. In this case that down-time is minimal if the data transmitted by the WQMWSN is continuously monitored and actions are taken in consequence usually after a cycle time which is specified in the order of minutes: 20 minutes in [15], 30 minutes in [24], three minutes in [23]). …”

Section: Use Casementioning

confidence: 99%

“…If we consider latency of the WQMWSN we can say that this parameter can be expressed as the period between when the nodes of the WQMWSN go into sleep and when they become active plus the period of activity of the nodes (60.039 seconds sleep average in [15], 1800.1 seconds in [24], 1440 seconds in [23]). …”

Section: Use Casementioning

confidence: 99%

“…[24] 12 hours (the sensor node is active for 10 minutes, in [23] 40 days -the sensor node is active for 4 days).…”

Section: Use Casementioning

confidence: 99%

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Service Level Agreement Characteristics of Monitoring Wireless Sensor Networks for Water Resource Management (SLAs4Water)

Iordache¹,

Paschke²,

Mocanu³

et al. 2017

STUD INFORM CONTROL

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Abstract:One of the most important characteristics of a Service Level Agreement (SLA) when discussing about Monitoring Wireless Sensor Networks (MWSNs) is its effectiveness in assuring business success, a high provider profit, an increased level of client satisfaction and trust. In order to ensure that these goals will be achieved the provider of the MWSN must define some parameters that characterize the Service Level Agreement that occurs between MWSN provider and the MWSN customer. This paper addresses a solution behind an efficient and effective Service Level Agreement (SLA) design and implementation related to a Monitoring Wireless Sensor Network (MSN) and applies the SLA in the case of water resources management. The characteristics of the SLA in place between the MWSN provider and the MWSN customer must be defined by taking into consideration various parameters that are particular to the MWSN such as routing algorithms, recovery from failure, monitoring and reporting aspects. An appropriate definition of a SLA contract helps identify the responsibilities of both the provider and customer of the Monitoring Wireless Sensor Network (MSN) and makes the interaction between the provider and customer easier.

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Section: Use Casementioning

confidence: 99%

Section: Use Casementioning

confidence: 99%

Section: Use Casementioning

confidence: 99%

“…[24] 12 hours (the sensor node is active for 10 minutes, in [23] 40 days -the sensor node is active for 4 days).…”

Section: Use Casementioning

confidence: 99%

See 2 more Smart Citations

Service Level Agreement Characteristics of Monitoring Wireless Sensor Networks for Water Resource Management (SLAs4Water)

Iordache¹,

Paschke²,

Mocanu³

et al. 2017

STUD INFORM CONTROL

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show abstract

“…To solve this issue, there is a need of introducing scientific methods that will be used to discover clean water, which the people use for drinking, cooking, washing and other daily activities related to water. More than one billion individuals require access to good drinking water on the planet, where giving an approach to consequently measure water quality will help handle this problem [1]. In addition, the examination on the change example of pollutants in water body has never halted, as different systems are used to build water quality displaying of diverse structures to give specialized backing to water quality evaluation, prediction and administration [2].…”

Section: Introductionmentioning

confidence: 99%