Scalable Route Map for Advanced Metering Infrastructure Based on Optimal Routing of Wireless Heterogeneous Networks

Inga, Esteban; Céspedes, Sandra; Hincapié, Roberto; Cárdenas, César

doi:10.1109/mwc.2017.1600255

Cited by 42 publications

(36 citation statements)

References 11 publications

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“…Hafidh et al, in [23], analyzed some SHMS systems integrating hardware and software infrastructures. The control structure of SHMS systems is generally conducted based on two types of systems, which are composed of mobile applications and IoT middleware structure [45][46][47][48].…”

Section: Iot-enabled Applications For Smart Homesmentioning

confidence: 99%

“…Moreover, it can improve MAC capacities and internet connection performance [58,59,72]. When the studies related to the IoT-based SM systems are analyzed, it is shown that these studies are intensely investigated to develop the performance of SMs by analyzing data acquisition, gateway placement, and implementation, WSN, PLC communication, wireless energy monitoring, real-time pricing, automatic billing, and privacy [47,48,58,66,[72][73][74][75][76]. An architecture for last-meter SG systems is developed in [58], in which authors considered a consumer-centric approach and reported an implementation embedded into an IoT platform.…”

Section: Smart Energy Metering and Management Applications Based On Iotmentioning

confidence: 99%

“…In addition, RTP can be realized by adapting the AMI system into the distribution network. Inga et al proposed a heterogeneous AMI structure in [48], in which authors considered and analyzed the AMI system containing various wireless communication systems. Authors also developed several heuristic models to figure out handicaps of the existing AMI networks.…”

Section: Smart Energy Metering and Management Applications Based On Iotmentioning

confidence: 99%

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Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

et al. 2019

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Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.presented in [12]. As a general definition, an EI system is composed of the combination of three important components that are energy systems, network systems, and ICT systems. In addition, these subsystems are connected to each other over energy routers, which comprise the main section of EI infrastructure. The energy routers are able to manage data and energy flow between these systems. The energy router idea is firstly proposed in [13], where they have two significant targets. While one of these targets is to perform dynamic scheduling of energy flows, the other is to enable communication with power devices. Different proposals related to system designs are reported in [14][15][16][17]. The use of communication technologies in EI is quite crucial to accomplish the goals of this vision. Therefore, ICTs are intensely adapted for enabling monitoring, controlling, and management processes in the EI concept. The wired and wireless communication technologies, such as ZigBee, WiMAX, cognitive radio, cellular communications, and the software-defined network (SDN), which are managed via the network system, are applied in the EI system to carry out monitoring, controlling, and management transactions in real-time [10]. One of the most recent communication technologies is the Internet of Things (IoT) [18,19] that has provided the development of numerous different communication protocols. The IoT can be exploited to ensure communication between devices employing dissimilar data types. Moreover, in order to present a communication platform in both machine-to-machine (M2M) and human-to-machine (H2M) environments, IoT technologies utilize several communication mediums, protocols, and layer architectures.A number of studies researching EI are available in the literature, which is only focused on the architecture of energy routers, techniques for system integration, SDNs, and big data analysis in the EI. To the best of our knowledge, any study surveying IoT applications in smart grids and smart environments has not been presented so far. We intend to present a comprehensive analysis of IoT applications in smart grids, smart cities, smart homes, smart metering, and EMSs to provide a further understanding of the EI concept. It is expected that these appl...

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Section: Iot-enabled Applications For Smart Homesmentioning

confidence: 99%

Section: Smart Energy Metering and Management Applications Based On Iotmentioning

confidence: 99%

Section: Smart Energy Metering and Management Applications Based On Iotmentioning

confidence: 99%

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Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

et al. 2019

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“…In order to implement a Smart Grid (SG), firstly the EDS should reach security and, reliability requirement via technical planning. Moreover, the EDS must be optimal and technically adequate because the end customer is close to that system, and due to its investment cost this is considerable compared to the entire network [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…[10] is one of the first to have presented a detailed overview of expansion planning models, compared to the different mathematical techniques describing the objective functions, constraints, the programming technique, and the pros and cons associated with the model. On the other hand, the approach is commonly used in wireless communication, Inga et al [6,7,11,12] proposed a hybrid wireless mesh network infrastructure considering a multi-hop system which is planned for electric consumption metering in a metropolitan area network, thereby performing an advanced metering infrastructure for use in MG.…”

Section: Introductionmentioning

confidence: 99%

Optimal Routing an Ungrounded Electrical Distribution System Based on Heuristic Method with Micro Grids Integration

2019

Self Cite

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This paper proposes a three-layer model to find the optimal routing of an underground electrical distribution system, employing the PRIM algorithm as a graph search heuristic. In the algorithm, the first layer handles transformer allocation and medium voltage network routing, the second layer deploys the low voltage network routing and transformer sizing, while the third presents a method to allocate distributed energy resources in an electric distribution system. The proposed algorithm routes an electrical distribution network in a georeferenced area, taking into account the characteristics of the terrain, such as streets or intersections, and scenarios without squared streets. Moreover, the algorithm copes with scalability characteristics, allowing the addition of loads with time. The model analysis discovers that the algorithm reaches a node connectivity of 100%, satisfies the planned distance constraints, and accomplishes the optimal solution of underground routing in a distribution electrical network applied in a georeferenced area. Simulating the electrical distribution network tests that the voltage drop is less than 2% in the farthest node.

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SAR‐MARKOV: An energy efficient optimal routing method for WSN

Ram

Ilavarasan

2021

Int J Communication

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Summary In most wireless sensor network (WSN) applications, energy efficiency is a major issue and also choosing an energy efficient routing is crucial for maximizing the network lifetime. In this paper, an energy efficient optimal routing method is presented for WSN based on SAR‐MARKOV model. Initially, nodes in the network are effectively clustered utilizing k‐means clustering in terms of energy, message size, and packet size to obtain the most reliable model of clustering. Afterwards, a Search and Rescue (SAR) optimization approach is utilized for optimal cluster head selection which works based on the SAR behavior of humans to optimize the constraints. After the selection of cluster head, the Markov model provides an accurate prediction of the shortest path to achieve energy efficient optimal routing. This work is implemented in NS2 platform. The experimental results of the presented approach provide improved performance than the different existing routing techniques in terms of throughput, packet loss ratio, packet delivery ratio, network lifetime, jitter, energy consumption, time complexity, end‐to‐end delay, and bit error rate.

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Scalable Route Map for Advanced Metering Infrastructure Based on Optimal Routing of Wireless Heterogeneous Networks

Cited by 42 publications

References 11 publications

Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Optimal Routing an Ungrounded Electrical Distribution System Based on Heuristic Method with Micro Grids Integration

SAR‐MARKOV: An energy efficient optimal routing method for WSN

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