Logical sub-region with sink mobility for throughput maximization and energy consumption minimization in rectangular UWSNs

Khan, Ayesha; Khan, Kamran; Gull, Saba; Sajid, Muhammad; Imran, Muhammad; Javaid, Nadeem

doi:10.1109/iwcmc.2017.7986531

Cited by 1 publication

(1 citation statement)

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“…Furthermore, data forwarding in a cooperative manner leads to an increase in the energy cost of the network. The algorithms presented in [ 29 , 30 , 31 ] has no wait and data holding mechanism, and the data are dropped when an MS is not in the coverage of the node.…”

Section: Introductionmentioning

confidence: 99%

CoSiM-RPO: Cooperative Routing with Sink Mobility for Reliable and Persistent Operation in Underwater Acoustic Wireless Sensor Networks

Ali

Khan

Aurangzeb

et al. 2019

Sensors

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An efficient algorithm for the persistence operation of data routing is crucial due to the uniqueness and challenges of the aqueous medium of the underwater acoustic wireless sensor networks (UA-WSNs). The existing multi-hop algorithms have a high energy cost, data loss, and less stability due to many forwarders for a single-packet delivery. In order to tackle these constraints and limitations, two algorithms using sink mobility and cooperative technique for UA-WSNs are devised. The first one is sink mobility for reliable and persistence operation (SiM-RPO) in UA-WSNs, and the second is the enhanced version of the SiM-RPO named CoSiM-RPO, which utilizes the cooperative technique for better exchanging of the information and minimizes data loss probability. To cover all of the network through mobile sinks (MSs), the division of the network into small portions is accomplished. The path pattern is determined for MSs in a manner to receive data even from a single node in the network. The MSs pick the data directly from the nodes and check them for the errors. When erroneous data are received at the MS, then the relay cooperates to receive correct data. The proposed algorithm boosts the network lifespan, throughput, delay, and stability more than the existing counterpart schemes.

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Section: Introductionmentioning

confidence: 99%