Asset Details
Do you wish to reserve the book?
Energy and delay efficient data acquisition in wireless sensor networks by selecting optimal visiting points for mobile sink
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Energy and delay efficient data acquisition in wireless sensor networks by selecting optimal visiting points for mobile sink
Do you wish to request the book?
Energy and delay efficient data acquisition in wireless sensor networks by selecting optimal visiting points for mobile sink
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Energy and delay efficient data acquisition in wireless sensor networks by selecting optimal visiting points for mobile sink
2023
Overview
Data acquisition using mobile sink in wireless sensor networks (WSNs) has shown significant advantages, especially in large-scale networks. Unlike the acquisition of sensor data by static sink through multi-hop forwarding, mobile sink travels across the sensing field to acquire data, which significantly reduces the energy consumption of sensor nodes. However, deciding sojourning locations for mobile sink in sensing field and designing a delay efficient trajectory path for its movement are very challenging. This paper takes up this issue and proposes an energy and delay efficient data acquisition technique, named as
EDEDA
. It divides the sensor field into virtual grids and identifies a certain number of grid cells, termed as visiting points (VPs), in such a way that mobile sink sojourns in them and acquires data from nine adjacent grid cell heads in single-hop. Furthermore, the mobility pattern of mobile sink is modelled as Hamiltonian cycle starting and ending at the base station (BS) after visiting all the VPs. Mobile sink offloads collected data at BS after each cycle. Simulations are performed on NS-2 to evaluate the performance of EDEDA at varying number of sensor nodes and found that it outperforms existing routing protocols in terms of energy consumption and throughput. Moreover, EDEDA results in 25.72%, 25.72%, 19.54%, 14.57% improvement in data acquisition latency for varying number of sensor nodes when compared with TCBDGA, PSOBS, RkM, VGRSS, respectively.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
