Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks

Gao, Shuai; Zhang, Hongke; Das, Sajal K.

doi:10.1109/tmc.2010.193

Cited by 252 publications

(161 citation statements)

References 19 publications

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“…4) Sensors transmit data with max power in communication distance r. The energy consumption is independent with communication distance. Ignoring the energy consumption of storage and computation, the node energy consumption for communication is similar to which in [11].…”

Section: Network Modelmentioning

confidence: 99%

Data Collection Strategy in Low Duty Cycle Wireless Sensor Networks with Mobile Sink

Xiao-feng¹,

Xie²

2017

IJCNS

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The lifetime of wireless sensor networks can be improved by imposing low duty cycle, but doing so could not solve unbalanced energy consumption and will increase transmission latency. To avoid this, this paper gives a new method to collect data by mobile sink. The proper data collection route is selected according to the sink speed and buffer size of the sensors. The sensors only wake up when the sink approaches them. When certain sensors detect an emergency, the sink catches the message quickly and moves to the hotspot to decrease message relay in the network. The result of simulation by OPNET shows that this protocol can reduce transmission data in the network and prolong the network lifetime.

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Section: Network Modelmentioning

confidence: 99%

Data Collection Strategy in Low Duty Cycle Wireless Sensor Networks with Mobile Sink

Xiao-feng¹,

Xie²

2017

IJCNS

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“…In Maximum Amount Shortest path (MASP) [10] data collection by mobile sink is maximized. The mobile sink travels in a fixed trajectory.…”

Section: Related Workmentioning

confidence: 99%

Survey on Time Efficient Data Gathering Approach for Wireless Sensor Network

Gaydhane¹,

Raut²

2017

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

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Abstract-Wireless Sensor Networks is a combination of sensor nodes and base station also known as data collection unit. Sensor nodes in WSN's are thus responsible for performing the basic functions to provide better interaction between network and real time applications. Nodes collect data and forwarded it to sink node. Data transmission can be taken in either static or dynamic nature. In a static network scenario the problem of hotspot which is due to converge-cast can be improved using mobile sink. Using mobile sink delay can be reduced and data can be transmitted within time period in real time applications. In this paper we will discussed various techniques for sink placement and scheduling process with delay constraint. However the sleep-awake scheduling based on duty cycle is proposed in which sleeping time is divided into random sleep time and periodic sleep time.

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“…In [22] the authors of the aforementioned DMS paper use the label-covering problem to model the path planning problem. Among the more prevalent heuristics used to solve the TSP are genetic algorithms, which are used statically as in [23]. There have been other proposed solutions that use more dynamic constraints, such as in [24], where the authors compare the earliest deadline first heuristic and the weighted sum heuristic to eliminate the buffer overflow problem, while in [25] the authors construct a Hamiltonian tour by using a minimum spanning tree.…”

Section: Traveling Salesman Problemmentioning

confidence: 99%

Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

Wichmann

Korkmaz

2015

Computer Communications

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Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks

Cited by 252 publications

References 19 publications

Data Collection Strategy in Low Duty Cycle Wireless Sensor Networks with Mobile Sink

Data Collection Strategy in Low Duty Cycle Wireless Sensor Networks with Mobile Sink

Survey on Time Efficient Data Gathering Approach for Wireless Sensor Network

Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

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