Information analysis of local suppression scheme based on a spatial-temporal model

Kim, Dal Ho; Lee, Jayoun; Kim, Yongku

doi:10.1080/02664763.2018.1445703

Cited by 2 publications

(1 citation statement)

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“…Data transmission is the most energy expensive operation for energy constrained wireless sensor nodes. According to the suppression approach, consumption of battery power in sensor nodes is reduced by transmitting the data only if it is necessary [12]. In the considered scenario, a smart sensor node, which did not detect any relevant event, can skip transmission to CH node to save the energy.…”

Section: Introductionmentioning

confidence: 99%

An Event-Aware Cluster-Head Rotation Algorithm for Extending Lifetime of Wireless Sensor Network with Smart Nodes

Lewandowski

Płaczek

2019

Sensors

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Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant events based on the sensed information before sharing it with other nodes. In wireless sensor networks, the smart sensor nodes are usually grouped in clusters for effective cooperation. One sensor node in each cluster must act as a cluster head. The cluster head depletes its energy resources faster than the other nodes. Thus, the cluster-head role must be periodically reassigned (rotated) to different sensor nodes to achieve a long lifetime of wireless sensor network. This paper introduces a method for extending the lifetime of the wireless sensor networks with smart nodes. The proposed method combines a new algorithm for rotating the cluster-head role among sensor nodes with suppression of unnecessary data transmissions. It enables effective control of the cluster-head rotation based on expected energy consumption of sensor nodes. The energy consumption is estimated using a lightweight model, which takes into account transmission probabilities. This method was implemented in a prototype of wireless sensor network. During experimental evaluation of the new method, detailed measurements of lifetime and energy consumption were conducted for a real wireless sensor network. Results of these realistic experiments have revealed that the lifetime of the sensor network is extended when using the proposed method in comparison with state-of-the-art cluster-head rotation algorithms.

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Section: Introductionmentioning

confidence: 99%