2019
DOI: 10.1177/1550147719861005
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Energy-efficient and privacy-preserving spatial range aggregation query processing in wireless sensor networks

Abstract: The existing privacy-preserving aggregation query processing methods in sensor networks rely on pre-established network topology and require all nodes in the network to participate in query processing. Maintaining the topology results in a large amount of energy overhead, and in many cases, the user is interested only in the aggregated query results of some areas in the network, and thus, the participation of the entire network node is not necessary. Aiming to solve this problem, this article proposes a spatia… Show more

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Cited by 10 publications
(4 citation statements)
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“…Similar to [2], we define valid nodes for a query as nodes residing within the query area and accessible by the Sink. A spatial query processing technique is expected to collect and aggregate data from all valid nodes.…”
Section: Simulation Environmentmentioning
confidence: 99%
See 1 more Smart Citation
“…Similar to [2], we define valid nodes for a query as nodes residing within the query area and accessible by the Sink. A spatial query processing technique is expected to collect and aggregate data from all valid nodes.…”
Section: Simulation Environmentmentioning
confidence: 99%
“…In many applications, users frequently submit spatial queries to extract and derive information from sensor nodes, obtaining query results over a specific area within a monitored region, all while utilizing the geographic positions of the sensors [1]. In this paper, we are particularly interested in the Windowtype query, as it is one of the most significant spatial query types, retrieving physical data detected from nodes located within a two-dimensional area of interest [2].…”
Section: Introductionmentioning
confidence: 99%
“…References [32,33,34] proposed to improve network lifetime and energy efficiency. The authors of References [35,36,38] focused on energy efficiency and that of References [40,41,42] focused on privacy using various techniques.…”
Section: Related Workmentioning
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%