Moving Schemes for Mobile Sinks in Wireless Sensor Networks

Bi, Yanzhong; Niu, Jianwei; Sun, Limin; Huangfu, Wei; Sun, Yi

doi:10.1109/pccc.2007.358884

Cited by 36 publications

(27 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bi et al [3] propose two autonomous moving schemes for mobile sinks: one-step moving scheme (OSMS) and multi-step moving scheme (MSMS). The data-gathering mechanism is similar to the one in [4], described earlier in this section.…”

Section: Algorithms With Autonomous Sink Movementmentioning

confidence: 99%

Improving network lifetime with mobile wireless sensor networks

Yang

Fonoage

Cardei

2010

Computer Communications

141

View full text Add to dashboard Cite

Section: Algorithms With Autonomous Sink Movementmentioning

confidence: 99%

Improving network lifetime with mobile wireless sensor networks

Yang

Fonoage

Cardei

2010

Computer Communications

141

View full text Add to dashboard Cite

“…Another kind of node deployment approach can be sink node options. Simply, deploying more data sinks in different positions or mobile sink node can mitigate the problem of unbalanced load [22][23][24][25]. In multiple sink approach is to determine energy balancing routing paths and optimal sink locations is goal to achieve ECB.…”

Section: Node Deployment Approachesmentioning

confidence: 99%

Energy consumption balancing in Wireless Sensor Networks

Ishmanov

Kim

2010

2010 International Conference on Computer Applications and Industrial Electronics

View full text Add to dashboard Cite

Increasing a functional lifetime of a network is utmost important criterion in Wireless Sensor Networks (WSNs) because of limited energy resource of nodes. Since, a functional lifetime requires either all or a certain percentage of nodes to be alive altogether, energy consumption balancing is important. Energy consumption balancing (ECB) property ensures that the average energy dissipation per sensor is equal for all sensors in the network. ECB can be considered as energy efficiency property that optimally manages energy consumption of sensors to prolong network lifetime. There is a recent research trend of studying energy consumption balancing. We investigated the concept of ECB and ECB related approaches concisely. Further, we provide a classification of the ECB approaches in the literature and present their core ideas, merits and demerits. Besides, we discussed the open research issues and future research directions.

show abstract

“…Such a network consists of static sensors responsible for sensing environmental variables, and mobile sinks that move to designated sink locations where they gather the data that is collected by the static sensors. Sink mobility in conventional sensor networks is known to reduce the energy consumption of the sensors, balance the workload among sensors and overcome the hot-spot effect, and prolong the lifetime of the sensor network [13][14][15][16][17][18][19][20][21]. Some applications of WSNs with mobile sinks include monitoring of agricultural areas [22], improving WSN data delay in emergency situations [23], and continuous object tracking [24].…”

Section: Introductionmentioning

confidence: 99%

A queueing model of an energy harvesting sensor node with data buffering

2017

View full text Add to dashboard Cite

Battery lifetime is a key impediment to long-lasting low power sensor nodes and networks thereof. Energy harvesting -conversion of ambient energy into electrical energy -has emerged as a viable alternative to battery power. Indeed, the harvested energy mitigates the dependency on battery power and can be used to transmit data. However, unfair data delivery delay and energy expenditure among sensors remain important issues for such networks. We study performance of sensor networks with mobile sinks: a mobile sink moves towards the transmission range of the different static sensor nodes to collect their data. We propose and analyse a Markovian queueing system to study the impact of uncertainty in energy harvesting, energy expenditure, data acquisition and data transmission. In particular, the energy harvesting sensor node is described by a system with two queues, one queue corresponding to the battery and the other to the data buffer. We illustrate our approach by numerical examples which show that energy harvesting correlation considerably affects performance measures like the mean data delay and the effective data collection rate.

show abstract

Moving Schemes for Mobile Sinks in Wireless Sensor Networks

Cited by 36 publications

References 35 publications

Improving network lifetime with mobile wireless sensor networks

Improving network lifetime with mobile wireless sensor networks

Energy consumption balancing in Wireless Sensor Networks

A queueing model of an energy harvesting sensor node with data buffering

Contact Info

Product

Resources

About