Implementation of Smart Application in WSN Using Enhanced Technology

Agarkhed, Jayashree; Dattatraya, Patil Yogita; Shilpa, S. P.

doi:10.1007/978-981-10-8201-6_48

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Wireless sensor networks (WSNs) are composed of a large number of communication nodes with limited sensing, processing and computational capabilities and one or more data sinks located either at the center or out of the sensing field [1,2]. The sensor nodes are deployed in a desired area to monitor environmental parameters or to detect some specific events (e.g., forest fire [3], battlefield surveillance [4], target moving [5] and other application [6][7][8] where the data are sensed and then sent to the sink or sinks through single-hop or multi-hop wireless routing [9]. Distinguished from traditional wireless networks, the sensor nodes of WSNs are limited in power, computational capacity and memory.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Model for Maximizing the Network Coverage Time in Non-Deterministic WSN Model

S*,

Lingareddy,

Chitnis

2019

IJITEE

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WSN are the group nodes and these nodes are grouped into several clusters, each cluster has its own CH (Cluster Head). Moreover, each cluster Head collects the data and sends either through the corresponding CH or through the CH. Moreover, the clustering plays one of the eminent role in WSN, since Clustering reduces the energy consumption in the cluster Head and improvises the lifetime and scalability of WSN. However, this maximizes the burden on the CH and certainly, it causes the coverage loss. Hence, in this paper we design a model named as EE-NCT (Energy Efficient model for maximizing the network coverage time) which helps in increasing the Network Coverage time for the non-deterministic model, i.e. Sensor nodes location are not known. Non -deterministic model makes hard to maximize, as the node placement is not known. Moreover, this is achieved through monitoring the sensor node location and applying the routing based clustering scheme. Our model is evaluated by considering the various constraint such as first sensor node death, 75% of node death and loss of connectivity by considering the parameter as energy consumption and average number of failed nodes.

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