Energy Efficient Based Maximal Lifetime Routing in Wireless Sensor Networks

Chen, Hua; Luo, Ming‐Xing; Sun, Benhua

doi:10.14257/ijfgcn.2014.7.3.07

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…Data query is an important operation for events monitoring or data analysis in sensors networks. Recently, privacypreserving range query [3][4][5][6][7][8] and data aggregation [9][10][11][12] have been well addressed, however, research efforts on MAX/MIN query are limited, which is to query the maximum or minimum value in an interested area. In this paper, we focus on the MAX/MIN queries, which are important in many applications.…”

Section: Introductionmentioning

confidence: 99%

EMQP: An Energy-Efficient Privacy-Preserving MAX/MIN Query Processing in Tiered Wireless Sensor Networks

Dai

Yang

Qin

2013

International Journal of Distributed Sensor Networks

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We consider a hybrid two-tiered sensor network consisting of regular resource-limited sensor nodes and powerful master nodes with abundant resources. In the architecture, master nodes take charge of storing data collected by sensor nodes and processing queries from the base station. Due to the important role of master nodes, they might easily become the target for the adversary to compromise in an untrusted or hostile circumstance. A compromised master node may leak sensitive data in its storage to the adversary, which breaches the data privacy. This paper proposes EMQP, a novel and energy-efficient privacy-preserving MAX/MIN query protocol which is capable of preventing adversaries from obtaining sensitive data collected by sensor nodes. To preserve privacy, the 0-1 encoding verification, keyed-hash message authentication coding, and symmetric encryption are applied to achieve the secret comparison of data items without knowing their real values. On the basis of secret comparison mechanism, the data submission and query processing protocols are proposed to describe the details of EMQP. And the analyses on privacy protection and energy consumption are also given. Moreover, a hash-based optimization method is presented to save more energy of the resource-limited sensor nodes. The simulation result shows that EMQP is more efficient than the current work in energy consumption.

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