En-Route Data Filtering Technique for Maximizing Wireless Sensor Network Lifetime

Abstract

Today, we can witness wireless sensor networks (WSNs) in action almost everywhere. Their applications are ubiquitous covering environment, medical care, military, surveillance, etc. While the potential benefits of WSNs are real and significant, there remains two major challenges to fully realize this potential: big data collection and limited sensor energy. To overcome these problems, filtering techniques over data routed to the sink should be used in such a way that they do not discard useful information. In this paper, we propose a new filtering technique dedicated to periodic sensor applications. The first filter is applied at the sensor nodes and aims to reduce their raw data based on the Pearson coefficient metric. The second filter is applied at intermediate nodes, called aggregators. It uses Knearest neighbor clustering algorithm in order to eliminate data redundancy collected by neighboring nodes. In order to evaluate our technique, experiments on real telosB sensors have been conducted while the results showed significant energy savings and high accurate data collection compared to existing approaches.

An energy efficient IoT data compression approach for edge machine learning

“…Numerous aggregation and compression approaches that take advantage of the temporal correlation in the collected data have been proposed [10,11,12,13,14].…”

“…In [10], the authors proposed a data filtering technique based on the Pearson coefficient metric. This method works by recursively dividing the dataset into two equal parts and aggregating the data based on the correlation between the subsets.…”

AEF: Adaptive En-Route Filtering to Extend Network Lifetime in Wireless Sensor Networks

“…In References [10,20,26,27,28,29,30,31], the authors proposed their scheme to enhance network lifetime in WSNs. Reference [24] presents a countermeasure for false data filtering in WSNs.…”

“…A number of research works [14,15,16,17,18,19,20] emphasize attacks and countermeasures. In the past, energy-hole problem mitigation was discussed in Reference [21].…”

“…Sensor clocks are synchronised using the energy-efficient time synchronization protocol (ETSP) [23]. Recent work [20,24,25,26,27] also highlighted countermeasures against attacks in en-route filtering with an emphasis on network lifetime. Several work focused on network lifetime extension [10,28,29,30,31], energy efficiency and network lifetime [32,33,34], and energy efficiency [35,36,37,38,39] and privacy [40,41,42] using various techniques.…”