Abstract

AbstractSensing coverage with fault‐tolerant connectivity is considered as a recent research challenge, which measures the Quality of Service (QoS) in wireless sensor networks. QoS is determined based on the set of deployed sensor nodes that monitor all available discrete targets lying at the given point of interest and at the same time have to retain reliable connectivity with the base station. In this article, we focus on two phases namely, monitoring targets in the given sensing area by splitting the sensor network into set covers, which is considered as a nondeterministic polynomial‐time complete problem and optimal deployment of intelligent nodes. At first, achieving full coverage with deployed sensors by covering all discrete targets to prolong the network lifetime. On the other hand, a novel S2 (sensors‐spine) node approach was used to place an optimal number of intelligent nodes using a nature‐inspired algorithm named moth flame optimization to overcome the fault among the disjoints sets such that the entire network was fully connected and ensure that sensed data from each target points are collected by the sink node. To evaluate our proposed design, extensive simulations were conducted to demonstrate the efficacy of our proposed mechanism that outperforms other existing techniques found in the literature in terms of prolonged network lifetime and there is no failure in the transmission path during data transmission to the sink node at every t s, such that the entire network was fully connected.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call