{"title":"Babel: Using a Common Bridge Node to Deliver Multiple Keys in Wireless Sensor Networks","authors":"Jing Deng, Y. Han","doi":"10.1109/GLOCOM.2007.38","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.38","url":null,"abstract":"In Wireless Sensor Networks (WSNs), symmetric key schemes may be used to provide security. Recently, a class of random key pre-distribution techniques have been proposed and investigated. Such techniques only guarantee to establish keys for some pairs of physically connected sensors. In this work, we address the issue of delivering secret link keys to each of the source's neighbors in wireless sensor networks. We propose a scheme called Babel that finds a common bridge node to deliver one key to each of the to-be-connected neighbors. The novelty of our scheme is to deliver multiple keys through a common bridge node and regular paths instead of multi-hop secure paths. Since the delivered keys are only disclosed to one node, the common bridge node, key compromise probability of the Babel scheme is significantly lower compared to other delivery techniques.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126825618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Polling Service for Next-Generation IEEE 802.16 WiMAX Networks","authors":"Chun Nie, M. Venkatachalam, Xiangying Yang","doi":"10.1109/GLOCOM.2007.902","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.902","url":null,"abstract":"WiMAX technology, based on IEEE 802.16 standard, is a promising broadband wireless technology for future 4G network. WiMAX provides radio access with centralized control, where bandwidth resources are managed and allocated by base station (BS) for both uplink (UL) and downlink (DL). Current WiMAX standard defines several bandwidth request (BWReq) mechanisms to serve a variety of applications, which however may not be efficient for on-off bursty traffic patterns. In this paper, we propose a novel adaptive polling service (aPS), with the advantage of significantly reducing the signaling overhead associated with the bandwidth request process without compromising the delay performance of real-time applications. Extensive simulations demonstrate that aPS outperforms existing scheduling services in terms of overall efficiency for a wide range of applications.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114906784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fractional Cooperation using Coded Demodulate-and-Forward","authors":"J. Chu, R. Adve, A. Eckford","doi":"10.1109/GLOCOM.2007.822","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.822","url":null,"abstract":"Since the introduction of cooperative diversity, many different implementations have been proposed to increase the reliability and/or power efficiency of distributed networks via relaying. One simple and flexible scheme introduced is coded demodulate-and-forward, where the relay only demodulates, instead of decodes, the received data, to create and forward a new codeword to the destination. This reduces the complexity of hardware as well as the energy consumption by the relay. In this paper, we consider another flexible feature of the coded demodulate-and-forward scheme, where the relay uses only a fraction of its codeword to assist the source, and saves the rest of the codeword for transmitting its own information. Previous schemes have generally focused on all-or-nothing cooperation where a relay either contributes all its resources or none at all to the source. Depending on the channel conditions, improved diversity order of the source codeword can be achieved with some small loss in the relay's own transmission performance. Here we identify the necessary criterion for the source to achieve a diversity order of 2.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115260988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Analysis of V-BLAST with Optimum Power Allocation","authors":"V. Kostina, S. Loyka","doi":"10.1109/GLOCOM.2007.290","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.290","url":null,"abstract":"Comprehensive performance analysis of the unordered V-BLAST algorithm with various power allocation strategies is presented, which makes use of analytical tools and resorts to Monte-Carlo simulations for validation purposes only. High-SNR approximations for the optimized average block and total error rates are given. The SNR gain of optimization is rigorously defined and studied using analytical tools, including lower and upper bounds, high and low SNR approximations. The gain is upper bounded by the number of transmitters, for any modulation format and any type of fading This upper bound is achieved at high SNR by the considered optimization strategies. While the average optimization is less complex than the instantaneous one, its performance is almost as good at high SNR. A measure of robustness of the optimized algorithm is introduced and evaluated, including compact closed-form approximations. The optimized algorithm is shown to be robust to perturbations in individual and total transmit powers. Based on the algorithm robustness, a pre-set power allocation is suggested as a low-complexity alternative to the other optimization strategies, which exhibits only a minor loss in performance over the practical SNR range.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115531341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Symbol Error Rate Calculation for Alamouti Space Time Coded OFDM in Direct Conversion Receivers","authors":"M. Krondorf, G. Fettweis","doi":"10.1109/GLOCOM.2007.758","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.758","url":null,"abstract":"In this paper we present an analytical approach to evaluate the M-QAM symbol error rate (SER) of Alamouti space time coded OFDM direct conversion receivers subject to carrier frequency offset (CFO), channel estimation errors, outdated channel state information and flat receiver I/Q imbalance in Rayleigh time and frequency selective fading channels. Based on correct modeling of the correlation between channel estimates and received signals with carrier frequency offset and receiver I/Q imbalance, the SER can be numerically evaluated by averaging symbol error rates on different subcarriers using an analytical expression of double integrals. The results illustrate that the analysis can approximate the simulative performance very accurately if the power delay profile of fading channels, the receiver I/Q imbalance parameters and carrier frequency offset are known.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116400030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Analysis of Synchronous Wakeup Patterns in Contention-Based Sensor Networks Using a Finite Queuing Model","authors":"Jun Luo, Ling-ge Jiang, Chen He","doi":"10.1109/GLOCOM.2007.256","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.256","url":null,"abstract":"To conserve energy, periodical active/sleep dynamics is adopted in the design of medium access protocol (MAC) in wireless sensor networks. At the same time, the QoS requirements (e.g. packet delay, packet loss rate and throughput) need to be satisfied. In synchronous wakeup patterns of contention-based sensor networks, nodes wake up simultaneously and compete to access a shared channel for data transmission. We develop a finite queuing model for the sensor nodes and derive the network performance of contention-based sensor networks with the synchronous wakeup patterns. Furthermore, the impact of active/sleep duty cycle, active time scale and node buffer size on the tradeoff between power efficiency and QoS requirements is studied based on the model. Simulation results match well with our analysis results and validate the accuracy of our model and approach.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116554960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Antenna Selection for MIMO OFDM Systems with Channel Estimation Error","authors":"Adarsh B. Narasimhamurthy, C. Tepedelenlioğlu","doi":"10.1109/GLOCOM.2007.624","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.624","url":null,"abstract":"We study space-time-frequency coded multiple- input-multiple-output (MIMO) orthogonal frequency-division multiplexed (OFDM) systems employing antenna selection at the receiver where optimal training has been utilized for performing linear minimum mean square error (LMMSE) based channel estimation. The maximum signal power antenna selection rule is introduced. By upper bounding the pairwise error probability (PEP) expression, we show that the system with channel estimation error (CEE) still achieves full diversity. The loss in coding gain (LCG) and the loss in performance (LP) expressions are derived. It is shown that while equal power training performs about 3 dB worse than the perfect CSI case, the optimal power training performs between the two depending on the number of subcarriers assigned per OFDM word. Simulation results are presented to validate our analysis.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122368016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobility-Assisted Sensor Networking for Field Coverage","authors":"Dan Wang, Jiangchuan Liu, Qian Zhang","doi":"10.1109/GLOCOM.2007.229","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.229","url":null,"abstract":"In many sensor network applications, manual or well-controlled node deployment is not practical. Random deployments, e.g., from the air, often result in unevenly distributed nodes and hence insufficient coverage. In this paper, we present a novel mobility-assisted network for field coverage, and suggest that, by introducing only a small set of mobile sensors, the field coverage can be remarkably improved. The main challenges for this mobility-assisted framework are determining the necessary coverage contribution of the mobile sensors and achieving such contribution. We develop an optimal strategy for separating the contribution from static sensors and mobile sensors. We then proposed a random walk based mobility model for the mobile sensors to achieve their necessary contribution. We demonstrate through experiment that a small set of mobile sensors can effectively solve the unbalance of the sensor distribution and significantly improve the system lifetime and coverage quality.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122567884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CSMA Self-Adaptation Based on Interference Differentiation","authors":"Jing Zhu, Xingang Guo, Sumit Roy, K. Papagiannaki","doi":"10.1109/GLOCOM.2007.938","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.938","url":null,"abstract":"This paper addresses the design challenge of interference mitigation in the emerging high density (HD) wireless LAN. It is proposed to differentiate interference according to their energy and timing relative to desired signal, and measure packet error rate (PER) locally at transmitter for each type of interference. Then, self-adaptation algorithms are designed to adjust a) clear channel assessment (CCA) threshold, aka physical carrier sensing threshold, to leverage spatial reuse for achieving higher aggregate throughput, and b) transmit power (TP) to compensate location difference among links, and prevent individual links from starving. Compared to an end-to-end (E2E) feedback loop, ours has negligible complexity and zero over-the-air overhead. Extensive OPNET simulations are used to compare the performance of our solutions against the legacy and the ideal.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On Signal Processing Methods for MIMO Relay Architectures","authors":"A. S. Behbahani, R. Merched, A. Eltawil","doi":"10.1109/GLOCOM.2007.562","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.562","url":null,"abstract":"Relay networks have received considerable attention recently, especially when limited size and power resources impose constraints on the number of antennas within a wireless sensor network. In this context, signal processing techniques play a fundamental role, and optimality within a given relay architecture can be achieved under several design criteria. In this paper, we extend recent optimal minimum-mean-square-error (MMSE) and SNR designs of relay networks to the corresponding multiple- input-multiple-output (MIMO) scenarios, whereby the source, relays and destination comprise multiple antennas. We shall investigate maximum SNR solutions subject to power constraints and zero-forcing (ZF) criteria, as well as approximate MMSE equalizers with specified target SNR and global power constraint.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122035056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}