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RSS feed of ComSoc Technology NewsLocalized Geographic Routing to a Mobile Sink with Guaranteed Delivery in Sensor Networks
CTN Issue: March 2013
The energy needed for reporting from a sensor to the sink in wireless sensor network is proportional to the average number of hops. In large scale networks, this may become a bottleneck. Mobile sinks reduce the number of hops and, therefore, energy consumption by collecting sensor measurements in their neighborhoods. Sensors route their periodic readings toward the current location of the mobile sink via other sensors in multi-hop fashion. In this paper, the authors propose a novel localized Integrated Location Service and Routing (ILSR) scheme, based on the geographic routing protocol GFG (greedy-face-greedy, see below), for data communications from sensors to a mobile sink in wireless sensor networks. GFG ensures successful communication as long as a sensor remains connected to the mobile sink. Considering both unpredictable and predictable sink mobility, the authors present two versions of their scheme and prove that both of them guarantee delivery in a connected network modeled as unit disk graph. ILSR is the first localized protocol that has this property. They further propose to reduce message cost, without jeopardizing this property, by dynamically controlling the level of location update. A few add-on techniques are also suggested to enhance the algorithm performance. It is observed that ILSR generates routes close to shortest paths at dramatically lower (90% lower) message cost. IEEE Journal on Selected Areas in CommunicationsSmart Grid Forensic Science: Applications, Challenges and Open Issues
CTN Issue: March 2013
Smart grid forensics is emerging as a powerful security component of the power system, with applications in cyber-security, natural disaster recovery and damage prevention, and law enforcement. Challenges range from privacy to handling of the enormous amount of data thrown off by the monitoring systems. This article provides an interesting introduction to the emerging area of smart-grid forensics, with a discussion of the challenges and open issues. IEEE Communications MagazineRadio Resource Allocation in LTE-Advanced Cellular Networks with M2M Communications
CTN Issue: February 2013
The paper presents the Machine-to-Machine (M2M) communications as a means for providing ubiquitous connectivity between machines without the need of human intervention. In particular, when opposed to the traditional human-to- human (H2H) services, M2M services are shown to have very different requirements on a communication system due to their characteristics and given the large increase in the number of Machine-Type Communication (MTC) devices. Following, various radio resource allocation schemes are described and quantified in terms of their applicability to LTE-Advanced cellular networks with the aim of minimising co-channel interference and maximising network efficiency, and then supported with system-level simulation results demonstrating that the proposed schemes can improve the network performance in terms of user utility. The paper concludes that M2M communications are to be an emerging technology facilitating the deployment of the Internet of Things (IoT) concept by means of, among others, the aforementioned cellular technology. IEEE Communications MagazineCognitive Network Interference
CTN Issue: February 2013
Cognitive radio techniques for opportunistic spectrum access are a promising solution to efficiently share the spectrum. Radio devices with cognitive capabilities can learn from the environment spatial and temporal utilization status of the radio spectrum and opportunistically exploit underutilized resources if doing so does not cause interference for other systems. Spectrum sharing is challenging since it creates interference from an unknown number of nodes randomly scattered in the network. This article introduces a new statistical model for cognitive network interference (CNI) based on the theory of truncated-stable distributions. The model accounts for sensing procedures, spectrum reuse protocols, and environment-dependent conditions such as path loss, shadowing, and channel fading. This provides an accurate characterization of CNI in realistic environments, making the model very attractive for operators deploying efficient mobile networks, industry developing new wireless applications, and regulators planning modern spectrum utilization. IEEE Journal on Selected Areas in CommunicationsCooperative Spectrum Sensing with Ternary Local Decisions
CTN Issue: January 2013
Cognitive radio has recently emerged as a promising solution for the current spectrum shortage by allowing the unlicensed secondary users to re-utilize the spectrum temporarily released by the licensed primary users. For simplicity, most cooperative spectrum sensing designs only consider the case of single-bit local decision, where each secondary user only sends a 1-bit message to the fusion center. However, some system setups may allow for multi-bit information forwarding from the cooperative secondary users to the fusion center for an improved sensing performance. As a transition to cooperative spectrum sensing with multi-bit local decisions, this paper considers the ternary case. This paper uses binary sensing as a baseline to design a low-complexity ternary sensing strategy with diversity as the performance measure. Readers who are interested in practical cooperative sensing designs under a given reporting channel bandwidth constraint would find this paper very insightful. IEEE Communications Letters
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