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For extending the lifetime of sensor networks by improving load balancing in wireless sensor networks, the cluster-based multi-path routing protocol, CLBM, has been studied in this paper. In CLBM, theory of space and time localization has been introduced in the process of cluster head reselecting, cluster node will select the cluster head according to(More)
We design a framework for truthful double multichannel spectrum auctions where each seller (or buyer) can sell (or buy) multiple spectrum channels based on their individual needs. Open, market-based spectrum trading motivates existing spectrum owners (as sellers) to lease their selected idle spectrum channels to new spectrum users (as buyers) who need the(More)
Many spectrum auction mechanisms have been proposed for spectrum allocation problem, and unfortunately, few of them protect the bid privacy of bidders and achieve good social efficiency. In this paper, we propose PPS, a Privacy Preserving Strategyproof spectrum auction framework. We design two schemes based on PPS separately for 1) the single-unit auction(More)
In this work, we study spectrum auction problem where each spectrum usage request has spatial, temporal, and spectral features. After receiving bid requests from secondary users, and possibly reserve price from primary users, our goal is to design truthful mechanisms that will either optimize the social efficiency or optimize the revenue of the primary(More)
Virtual multi-input multi-output (MIMO) or vMIMO is becoming an attractive technology to achieve spatial diversity in wireless networks without using additional antennas, and to reduce power consumption by cooperation among multiple nodes. As data gathering is one of the most important operations in many sensor network applications, this paper studies(More)
We study a spectrum auction problem where each request from new spectrum users has spatial, temporal, and spectral features. Our goal is to design truthful auction mechanisms that maximize either the overall social efficiency of new users (a.k.a buyers) or the revenue of the spectrum owner (a.k.a seller). Given that the optimal conflict-free spectrum(More)
With the increasing number of smartphone users, mobile phone sensing applications have been regarding as a promising paradigm which makes use of the smartphones to access the ubiquitous environment data. In this work, we study the sensing task auction problem where there are multiple tasks and smartphone users. The most significant challenge of this problem(More)