2019
DOI: 10.1108/sr-11-2018-0310
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Zone-based sink mobility in wireless sensor networks

Abstract: Purpose The purpose of this paper is to enhance the network lifetime of WSN. In wireless sensor network (WSN), the sensor nodes are widely deployed in a terrestrial environment to sense and evaluate the physical circumstances. The sensor node near to the sink will deplete more energy faster than other nodes; hence, there arises an energy hole and network partitioning problem in stationary sink-based WSN. Even though many mobile sink-based WSN is formulated to mitigate energy hole, inappropriate placement of si… Show more

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Cited by 32 publications
(8 citation statements)
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“…A radio energy model 31 can be utilized to compute the energy dissipation of nodes. Any node consumes a Energytx$$ {Energy}_{tx} $$ amount of battery energy for communicating τ$$ \tau $$‐bit information to distance (ϑ$$ \vartheta $$), which is evaluated as Energytxgoodbreak={τ()Ecgoodbreak+Efϑ20.25emitalicif0.25emϑ<ϑtτ()Ecgoodbreak+Emϑ40.25emitalicif0.25emϑϑt$$ {Energy}_{tx}=\left\{\begin{array}{l}\tau \left({E}_c+{E}_f{\vartheta}^2\right)\ if\ \vartheta <{\vartheta}_t\\ {}\tau \left({E}_c+{E}_m{\vartheta}^4\right)\ if\ \vartheta \ge {\vartheta}_t\end{array}\right.…”
Section: System Modelmentioning
confidence: 99%
“…A radio energy model 31 can be utilized to compute the energy dissipation of nodes. Any node consumes a Energytx$$ {Energy}_{tx} $$ amount of battery energy for communicating τ$$ \tau $$‐bit information to distance (ϑ$$ \vartheta $$), which is evaluated as Energytxgoodbreak={τ()Ecgoodbreak+Efϑ20.25emitalicif0.25emϑ<ϑtτ()Ecgoodbreak+Emϑ40.25emitalicif0.25emϑϑt$$ {Energy}_{tx}=\left\{\begin{array}{l}\tau \left({E}_c+{E}_f{\vartheta}^2\right)\ if\ \vartheta <{\vartheta}_t\\ {}\tau \left({E}_c+{E}_m{\vartheta}^4\right)\ if\ \vartheta \ge {\vartheta}_t\end{array}\right.…”
Section: System Modelmentioning
confidence: 99%
“…Thus, the primary purpose of this system is to rapidly detect ecological abnormalities, which will allow the MS to react correctly using a cumulative reward function. Another model is suggested in [13], which zone-divides the network to improve WSN performance and lengthen their lives. Considering the load of each zone, the MS is going to get closer to the zone that is highly loaded.…”
Section: Related Workmentioning
confidence: 99%
“…The different subsystems that make up a sensor include CPUs, memory, power supplies, sensing sub‐systems, and actuators. The sensors quickly run out of energy since these components consume significant battery power to function 5 …”
Section: Introductionmentioning
confidence: 99%