%0 Journal Article
%T An Energy-Efficient and Scalable Secure Data Aggregation for Wireless Sensor Networks
%A Taochun Wang
%A Xiaolin Qin
%A Liang Liu
%J International Journal of Distributed Sensor Networks
%D 2013
%I Hindawi Publishing Corporation
%R 10.1155/2013/843485
%X Due to the characteristics of resource-constrained and battery-powered sensors in wireless sensor networks (WSNs), energy consumption is always a major concern. Data aggregation is an essential technique to reduce the communication overhead and energy consumption. Since many applications require data privacy, we need to take security into consideration. In this paper, we propose an energy-efficient, secure, highly accurate, and scalable scheme for data aggregation (EESSDA). The main idea of EESSDA is that secure data aggregation is achieved by establishing secure channel and slicing technology. The EESSDA scheme does not need encryption and decryption operations during the data aggregation, which saves energy and obtain high accuracy of aggregation results. Meanwhile, in EESSDA scheme, the advanced deployment of shared information between nodes is not required, making the networks with good scalability. Our analysis and simulations show that EESSDA is of lower communication overhead, more efficiency and accuracy, and better privacy preservation and scalability than existing schemes. 1. Introduction Wireless sensor networks (WSNs) are composed of a large number of sensor nodes to cooperatively monitor physical or environmental conditions, such as temperature, humidity, or noise, at different locations. WSNs have become increasingly popular in many military and civilian applications [1¨C3], for example, in the military field, identifying and locating targets for potential attacks through WSNs and in civilian field, tracking a patient's blood pressure, blood sugar, heart rate, and so forth. via wearable sensors to monitor the patient's health. Sensor nodes are usually constrained in energy, communication, storage, and computation capability, especially the ones powered by batteries which cannot be replaced optionally. Therefore, it is requisite for WSNs to save energy and increase network lifetime. In [4], a node consumes approximately the same amount of energy to compute 800 instructions as it does in sending a single bit of data. Hence, reducing the amount of traffic is a crucial way to save energy. WSNs usually generate large amounts of raw data in which there exists high redundancy. So, it is important to develop efficient data processing technique to reduce redundant data and the amount of transmission. Data aggregation [5¨C10] is an efficient method to eliminate data redundancy and save energy. However, data are transmitted by multihop and wireless in WSNs, which makes the transmission of data be captured and eavesdropped easily by a malicious
%U http://www.hindawi.com/journals/ijdsn/2013/843485/