2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems最新文献_第2页

Mitigate Funnel Effect in Sensor Networks with Multi-interface Relay Nodes 多接口中继节点传感器网络中的漏斗效应缓解

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.41

Jorge Mena, M. Gerla, V. Kalogeraki

{"title":"Mitigate Funnel Effect in Sensor Networks with Multi-interface Relay Nodes","authors":"Jorge Mena, M. Gerla, V. Kalogeraki","doi":"10.1109/DCOSS.2012.41","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.41","url":null,"abstract":"Overlay network architectures that use orthogonal channels have been known to provide effective additional resources to underlying networks in high demand. Overlays are composed of relay nodes provided with rich computational resources and multiple wireless interfaces that make them capable of establishing several non-interfering networks. These networks can be used to move traffic around in a non-interfering manner. It is possible to deploy such overlays in sensor networks where sensors suffer from the funnel effect caused by excess traffic flows, to help mitigate this effect. In this paper we address the geographical placement of relay nodes in the region to mitigate the funnel effect in sensor networks. We provide an O (mlog (h) ) algorithm of congested region size m and computed Convex Hull size h that finds the placement of the minimum number of relay nodes to cover the entire congested region. In a greedy fashion, we place a relay node given the following placement conditions: the closest position such that it covers the largest amount of peers up to an extent parameter bounded by its transmission range, and that is closest to the sink. Our simulated results show that using a minimum number of relays, we could save up to 43% of nodes compared to a simple placement strategy, the underlying network increases its delivery ratio and throughput, improves its jitter, and opens the possibility of load balancing and fairness advantages.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130062348","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}

引用次数: 1

In-Network Computation of the Transition Matrix for Distributed Subspace Projection 分布式子空间投影转移矩阵的网络计算

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.11

Xabier Insausti, P. Crespo, B. Beferull-Lozano

引用次数: 6

Controlled Straight Mobility and Energy-Aware Routing in Robotic Wireless Sensor Networks 机器人无线传感器网络中的受控直线移动和能量感知路由

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.23

R. Falcon, Hai Liu, A. Nayak, I. Stojmenovic

{"title":"Controlled Straight Mobility and Energy-Aware Routing in Robotic Wireless Sensor Networks","authors":"R. Falcon, Hai Liu, A. Nayak, I. Stojmenovic","doi":"10.1109/DCOSS.2012.23","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.23","url":null,"abstract":"Power-aware routing and controlled mobility schemes are two commonly used mechanisms for improving communications in a wireless sensor network. While the former actively consider the transmission costs when selecting the next hop on the route, the latter instruct mobile relay nodes (either sensors or actuators) to pursue more promising locations so as to optimize end-to-end transmission power. Rarely, if ever, the two methodologies are exploited together for achieving relevant energy savings and prolonging network lifetime. In this paper, we introduce a hybrid routing-mobility model for the optimization of network communications. First, we find a multi-hop path between a source and its destination in an energy-efficient fashion and then we move all hop nodes in an uninterrupted, straight manner to some predefined spots with optimal energy-saving properties, fully preserving the path connectivity as they move. Such synergetic approach allowed us to: (1) seamlessly guarantee message delivery regardless of the network density (average number of neighbors per node), (2) easily incorporate any power-related optimization criterion to the routing protocol and (3) even target scenarios where both end nodes are actually disconnected from each other. Results gathered from extensive simulations argue for the introduction of the proposed hybrid framework.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122235388","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}

引用次数: 22

Bin-MAC: A Hybrid MAC for Ultra-compact Wireless Sensor Nodes Bin-MAC:用于超紧凑无线传感器节点的混合MAC

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.42

V. Salmani, P. Chou

引用次数: 8

Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks 自主移动传感器网络中传感距离有限的目标跟踪

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.44

Jing Bai, Peng Cheng, Jiming Chen, A. Guenard, Yeqiong Song

引用次数: 9

Coverage Estimation in Heterogeneous Visual Sensor Networks 异构视觉传感器网络的覆盖估计

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.61

M. Karakaya, H. Qi

{"title":"Coverage Estimation in Heterogeneous Visual Sensor Networks","authors":"M. Karakaya, H. Qi","doi":"10.1109/DCOSS.2012.61","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.61","url":null,"abstract":"Coverage estimation is one of the fundamental issues in many applications of sensor networks. Coverage estimation in visual sensor networks (VSNs) is more challenging than in conventional 1-D scalar sensor networks (SSNs) due to the directional sensing characteristic of cameras and the existence of visual occlusions in crowded environments. Moreover, deployment of heterogeneous visual sensors and existence of heterogeneous targets in the sensing field makes the coverage estimation problem even more challenging. In this paper, we study the coverage estimation problem in heterogeneous VSNs. We first investigate into a new target detection model, referred to as the \"certainty-based target detection\" as compared to the traditional \"occupancy-based target detection\" to facilitate the formulation of the visual coverage estimation. By adopting the new target detection model, we then derive the closed-form solution for the visual coverage estimation problem in heterogeneous VSNs. Our formulation also allows us to take both the presence of visual occlusions and boundary effect into consideration. Results from simulation validate the theoretical formulation, especially when the boundary effect is considered.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122776194","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}

引用次数: 12

A Mobile Terminal Based Trajectory Preserving Strategy for Continuous Querying LBS Users 基于移动终端的连续查询LBS用户轨迹保持策略

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.33

Yunxia Feng, Peng Liu, Jianhui Zhang

{"title":"A Mobile Terminal Based Trajectory Preserving Strategy for Continuous Querying LBS Users","authors":"Yunxia Feng, Peng Liu, Jianhui Zhang","doi":"10.1109/DCOSS.2012.33","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.33","url":null,"abstract":"Location privacy is one critical factor concerned by mobile users of Location Based Service (LBS). Location privacy of mobile users includes two parts: current position information and trajectory information. The problem of position anonymity in Ad Hoc & sensor networks has been widely studied during past years. Nevertheless, most of existing privacy preserving solutions either need a third part server or require a large number of users. This paper proposes a simple and distributed trajectory preserving strategy, called Virtual Avatar (VAvatar). VAvater adopts a virtual path programming resolution, which does not need any third-part server (agent), to achieve trajectory information anonymity for continuous querying users of LBS. On the other hand, attackers may have strong ability to make mobility predictions by analyzing spatio-temporal relation of historical communication data. In order to prevent users from such threatening, VAvatar takes following two strategies: noisy location selecting strategy and query scheduling strategy to interrupt spacial and temporal relationships between position data. Theoretical analysis and experiments show that VAvatar provides efficient protection of trajectory privacy for mobile users with tolerable energy cost.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132480817","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}

引用次数: 17

MOB-TOSSIM: An Extension Framework for TOSSIM Simulator to Support Mobility in Wireless Sensor and Actuator Networks mobo -TOSSIM: TOSSIM模拟器的扩展框架，支持无线传感器和执行器网络的移动性

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.34

A. Derhab, Fatma Ounini, Badis Remli

{"title":"MOB-TOSSIM: An Extension Framework for TOSSIM Simulator to Support Mobility in Wireless Sensor and Actuator Networks","authors":"A. Derhab, Fatma Ounini, Badis Remli","doi":"10.1109/DCOSS.2012.34","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.34","url":null,"abstract":"Recently, there has been considerable research on using mobility in wireless sensor and actor networks (WSANs) to assist in the deployment of nodes and meet the sensing, communication, and actuation coverage requirements. One of the well-know simulators used to evaluate the performance of wireless sensor networks is TOSSIM. It has the advantage that its code can also run in real systems, and hence it allows better comparison between experimental and simulation results. However, it is designed to simulate only static sensor networks. In this paper, we propose a classification scheme that categorizes the mobility models in WSANs. Based on this classification, we design and implement MOB-TOSSIM, the first extension framework to TOSSIM that supports mobility in WSNs and WSANs. MOB-TOSSIM implements three components: (1) a set of probabilistic and controlled mobility models, (2) an extended and modified version of Power TOSSIM that includes the energy consumption due to mobility and radio transmission, and (3) a radio component based on a realistic propagation model. Experiment results show that MOB-TOSSIM is scalable with respect to network size and node speed, as it incurs an acceptable additional execution time compared to TOSSIM.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124358974","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}

引用次数: 4

ADEN: Adaptive Energy Efficient Network of Flying Robots Monitoring over Disaster Hit Area 亚丁:灾害灾区飞行机器人监测自适应节能网络

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.50

T. Abishek, K. Chithra, M. Ramesh

引用次数: 7

Power-Efficient Algorithms for Fourier Analysis over Random Wireless Sensor Network 随机无线传感器网络傅里叶分析的高能效算法

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems Pub Date : 2012-05-16 DOI: 10.1109/DCOSS.2012.40

Xi Xu, R. Ansari, A. Khokhar

{"title":"Power-Efficient Algorithms for Fourier Analysis over Random Wireless Sensor Network","authors":"Xi Xu, R. Ansari, A. Khokhar","doi":"10.1109/DCOSS.2012.40","DOIUrl":"https://doi.org/10.1109/DCOSS.2012.40","url":null,"abstract":"Reduced execution time and increased power efficiency are important objectives in the distributed execution of collaborative signal processing tasks over wireless sensor networks. The power-efficient implementation of the Fourier transform computation is an exemplar of distributed data communication and processing task widely used in the signal processing field. Past work has presented some energy-efficient in-network Fourier transform computation algorithms devised only for uniformly sampled one-dimensional (1D) sensor data. However the circumstance that sensors are randomly distributed over a 2D plane may be more practical, therefore the conventional two-dimensional Fast Fourier Transform (2D FFT) defined for data sampled on uniform grids is not directly applicable in such environments. We address this problem by designing a distributed hybrid structure consisting of local Nonequispaced Discrete Fourier Transform (NDFT) and global FFT computation. Firstly, NDFT method is applied in a suitable choice of clusters to get the initial uniform Fourier coefficients with allowable estimation error bounds. We experiment with classical linear as well as generalized interpolation methods to compute NDFT coefficients within each cluster. A separable 2D FFT is then performed over all these clusters by employing our proposed energy-efficient 1D FFT computation that reduces communication costs using a novel bit index mapping strategy for data exchanges between sensors. The proposed techniques are implemented in a SID net-SWANS platform to investigate the communication costs, execution time, and energy consumption. Our results show reduced execution time and improved energy consumption when compared with existing work.","PeriodicalId":448418,"journal":{"name":"2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592827","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}

引用次数: 5