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Journal ArticleDOI

Long-Lifetime and Low Latency Data Aggregation Scheduling for Wireless Sensor Network

The steps proposed in this article ensure an increase in the network lifetime and decrease in the energy utilization.
Wireless Sensor Networks contain an incredible number of hubs with limited registering, detecting, and wireless communication capacities. These systems have been utilized as a part of a wide zone of utilizations, such as human services, contamination checking, and target-following frameworks. The dynamic clustering of sensors into bunches is a prevalent procedure to expand the system lifetime and increment adaptability. To accomplish this, in this article the sensor hubs are adjusted to ensure a long lifetime and the activities are arranged into rounds that use fixed time intervals. In the first phase, a clustering topology is found, and a group head is picked in view of the outstanding energy level. Then the cluster head screens the network energy threshold value to identify the energy drain rate of all its cluster members. In the second stage, the Long-Lifetime and Low-Latency Data Aggregation Scheduling method is used. This scheduling method assigns schedule openings to group part information parcels. Here, congestion occurrence is completely kept away from the scenario. In the third stage, an Energy-Efficient Distributed Schedule–based convention is used to keep up greatest residual energy level over the network. The experimental outcome shows the steps proposed in this article ensure an increase in the network lifetime and decrease in the energy utilization.

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Proceedings ArticleDOI

A Comprehensive Study on Various Energy Conservation Mechanisms in Wireless Sensor Networks

TL;DR: This paper presents a comparative study on cluster-based protocols being utilized to conserve node's energy, and discovered various mechanisms for energy conservation with respect to the power component.
Proceedings ArticleDOI

Achieving Energy Efficiency for Bursty Traffic in Wireless Sensor Networks

TL;DR: It has been revealed that DDC technique outperforms DCP both in terms of energy and delay, when operating under bursty traffic.
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