Energy Efficient Mobile Sink Based Routing Model For Maximizing Lifetime of Wireless Sensor Network

Recently, wide adoption of wireless sensor networks (WSNs) has been seen for provision real-time and non-real-time application services. Provisioning these application service requires energy efficient routing design for WSN. Clustering technique is an efficient mechanism that plays a major role in minimizing energy dissipation of WSN. However, the existing model are designed considering minimizing energy consumption of sensor device considering homogenous. However, it incurs energy overhead among cluster head. Further, maximizing coverage time is not considered by exiting clustering approach considering heterogeneous network affecting lifetime performance. For overcoming issues of routing data packets in WSN, mobile sink has been used. Here, the sensor device will transmit packet in multihop fashion to the rendezvous and the mobile sink will move towards rendezvous points (RPs) to collect data, as opposed to all nodes. However, the exiting model designed so far incurs packet delay (latency) and energy (storage) overhead among sensor device. For overcoming research challenges, this work present energy efficient mobile sink based routing model for maximizing lifetime of wireless sensor network. Experiment are conducted to evaluate the performance of proposed model shows significant performance in terms of communication, routing overhead and lifetime of sensor network

Load-balancing rendezvous approach for mobility-enabled adaptive energy-efficient data collection in WSNs

Copyright © 2020 KSII The tradeoff between energy conservation and traffic balancing is a dilemma problem in Wireless Sensor Networks (WSNs). By analyzing the intrinsic relationship between cluster properties and long distance transmission energy consumption, we characterize three node sets of the cluster as a theoretical foundation to enhance high performance of WSNs, and propose optimal solutions by introducing rendezvous and Mobile Elements (MEs) to optimize energy consumption for prolonging the lifetime of WSNs. First, we exploit an approximate method based on the transmission distance from the different node to an ME to select suboptimal Rendezvous Point (RP) on the trajectory for ME to collect data. Then, we define data transmission routing sequence and model rendezvous planning for the cluster. In order to achieve optimization of energy consumption, we specifically apply the economic theory called Diminishing Marginal Utility Rule (DMUR) and create the utility function with regard to energy to develop an adaptive energy consumption optimization framework to achieve energy efficiency for data collection. At last, Rendezvous Transmission Algorithm (RTA) is proposed to better tradeoff between energy conservation and traffic balancing. Furthermore, via collaborations among multiple MEs, we design Two-Orbit Back-Propagation Algorithm (TOBPA) which concurrently handles load imbalance phenomenon to improve the efficiency of data collection. The simulation results show that our solutions can improve energy efficiency of the whole network and reduce the energy consumption of sensor nodes, which in turn prolong the lifetime of WSNs

Incrementando as redes centradas à informaçãopara uma internet das coisas baseada em nomes

The way we use the Internet has been evolving since its origins. Nowadays, users are more interested in accessing contents and services with high demands in terms of bandwidth, security and mobility. This evolution has triggered the emergence of novel networking architectures targeting current, as well as future, utilisation demands. Information-Centric Networking (ICN) is a prominent example of these novel architectures that moves away from the current host-centric communications and centres its networking functions around content. Parallel to this, new utilisation scenarios in which smart devices interact with one another, as well as with other networked elements, have emerged to constitute what we know as the Internet of Things (IoT). IoT is expected to have a significant impact on both the economy and society. However, fostering the widespread adoption of IoT requires many challenges to be overcome. Despite recent developments, several issues concerning the deployment of IPbased IoT solutions on a large scale are still open. The fact that IoT is focused on data and information rather than on point-topoint communications suggests the adoption of solutions relying on ICN architectures. In this context, this work explores the ground concepts of ICN to develop a comprehensive vision of the principal requirements that should be met by an IoT-oriented ICN architecture. This vision is complemented with solutions to fundamental issues for the adoption of an ICN-based IoT. First, to ensure the freshness of the information while retaining the advantages of ICN’s in-network caching mechanisms. Second, to enable discovery functionalities in both local and large-scale domains. The proposed mechanisms are evaluated through both simulation and prototyping approaches, with results showcasing the feasibility of their adoption. Moreover, the outcomes of this work contribute to the development of new compelling concepts towards a full-fledged Named Network of Things.A forma como usamos a Internet tem vindo a evoluir desde a sua criação. Atualmente, os utilizadores estão mais interessados em aceder a conteúdos e serviços, com elevados requisitos em termos de largura de banda, segurança e mobilidade. Esta evolução desencadeou o desenvolvimento de novas arquiteturas de rede, visando os atuais, bem como os futuros, requisitos de utilização. As Redes Centradas à Informação (Information-Centric Networking - ICN) são um exemplo proeminente destas novas arquiteturas que, em vez de seguirem um modelo de comunicação centrado nos dispositivos terminais, centram as suas funções de rede em torno do próprio conteúdo. Paralelamente, novos cenários de utilização onde dispositivos inteligentes interagem entre si, e com outros elementos de rede, têm vindo a aparecer e constituem o que hoje conhecemos como a Internet das Coisas (Internet of Things - IoT ). É esperado que a IoT tenha um impacto significativo na economia e na sociedade. No entanto, promover a adoção em massa da IoT ainda requer que muitos desafios sejam superados. Apesar dos desenvolvimentos recentes, vários problemas relacionados com a adoção em larga escala de soluções de IoT baseadas no protocolo IP estão em aberto. O facto da IoT estar focada em dados e informação, em vez de comunicações ponto-a-ponto, sugere a adoção de soluções baseadas em arquiteturas ICN. Neste sentido, este trabalho explora os conceitos base destas soluções para desenvolver uma visão completa dos principais requisitos que devem ser satisfeitos por uma solução IoT baseada na arquitetura de rede ICN. Esta visão é complementada com soluções para problemas cruciais para a adoção de uma IoT baseada em ICN. Em primeiro lugar, assegurar que a informação seja atualizada e, ao mesmo tempo, manter as vantagens do armazenamento intrínseco em elementos de rede das arquiteturas ICN. Em segundo lugar, permitir as funcionalidades de descoberta não só em domínios locais, mas também em domínios de larga-escala. Os mecanismos propostos são avaliados através de simulações e prototipagem, com os resultados a demonstrarem a viabilidade da sua adoção. Para além disso, os resultados deste trabalho contribuem para o desenvolvimento de conceitos sólidos em direção a uma verdadeira Internet das Coisas baseada em Nomes.Programa Doutoral em Telecomunicaçõe

Design of Three-Tiered Sensor Networks with a Mobile Data Collector under Energy and Buffer Constraints

A sensor network consists of a network with a large number of sensor nodes deployed around some phenomenon to gather information. Since the nature of sensor nodes is that their energy is limited, many techniques focus on addressing the problem of minimizing the energy consumption in order to extend the network lifetime. One approach is to deploy relay nodes. However, the requirement to transmit over large distances leads to a high rate of energy dissipation. Therefore, mobile data collectors are introduced to resolve this problem. In this thesis, we present an Integer Linear Programming formulation that takes different parameters into consideration to determine an optimal relay node placement scheme in networks with a mobile data collector, which ensures that there is no data loss and the energy dissipation does not exceed a specified level. The simulation results show that our formulation can significantly extend the network lifetime and provide Quality of Service

Robotic Searching for Stationary, Unknown and Transient Radio Sources

Searching for objects in physical space is one of the most important tasks for humans. Mobile sensor networks can be great tools for the task. Transient targets refer to a class of objects which are not identifiable unless momentary sensing and signaling conditions are satisfied. The transient property is often introduced by target attributes, privacy concerns, environment constraints, and sensing limitations. Transient target localization problems are challenging because the transient property is often coupled with factors such as sensing range limits, various coverage functions, constrained mobility, signal correspondence, limited number of searchers, and a vast searching region. To tackle these challenge tasks, we gradually increase complexity of the transient target localization problem such as Single Robot Single Target (SRST), Multiple Robots Single Target (MRST), Single Robot Multiple Targets (SRMT) and Multiple Robots Multiple Targets (MRMT). We propose the expected searching time (EST) as a primary metric to assess the searching ability of a single robot and the spatiotemporal probability occupancy grid (SPOG) method that captures transient characteristics of multiple targets and tracks the spatiotemporal posterior probability distribution of the target transmissions. Besides, we introduce a team of multiple robots and develop a sensor fusion model using the signal strength ratio from the paired robots in centralized and decentralized manners. We have implemented and validated the algorithms under a hardware-driven simulation and physical experiments