Developing network software and communications protocols towards the internet of things

Silverajan, Bilhanan; Harju, Jarmo

doi:10.1145/1621890.1621902

Cited by 17 publications

(8 citation statements)

References 8 publications

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“…This scenario entails the situation in which objects that in a given area may perform a task of interest for IoT applications may change over the time and there is the need for a dynamic coordination of objects in a given area to decide which one should perform the task of interest. Most of the existing studies on resource allocation for IoT are focused on IoT service provisioning, such as in [10] and [11]. In these studies, the aim is to find and allocate the resources that enable service execution.…”

Section: Past Work In Task Allocation In Iotmentioning

confidence: 99%

IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things

et al. 2017

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This work focuses on the problem of task allocation among mobile objects that aim to collaborate in the execution of IoT (Internet of Things) applications. We consider 3GPP Proximity Services (ProSe) that enable Device to Device (D2D) communications for direct interaction among IoT objects. We first define the framework where devices willing to cooperate: (i) discover and join a cluster of objects to take part to the IoT_ProSe service; (ii) compete with the other objects in the cluster when a request for a service is sent to the cluster from the IoT application server. We then focus on two important problems. The first problem is the decision about which node should win the competition, for which we propose a game-theory based approach to find a solution maximizing objectsâ\u80\u99 utility functions. The second problem is the computation of the optimal size of devicesâ\u80\u99 clusters within a cell by maximizing the signal quality across the cell. Experimental results provide insights on the strategy performance. By appropriately setting working parameters, it is possible to improve system reliability up to 21%, and system lifetime up to 68%

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Section: Past Work In Task Allocation In Iotmentioning

confidence: 99%

IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things

et al. 2017

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“…Most of the existing studies on resource allocation for IoT are focused on IoT service provisioning, such as in [17,18]. In these studies, the aim is to allocate the resources that enable service execution.…”

Section: Past Workmentioning

confidence: 99%

Dynamic Involvement of Real World Objects in the IoT: A Consensus-Based Cooperation Approach

Pilloni

Atzori

Mallus

2017

Sensors

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A significant role in the Internet of Things (IoT) will be taken by mobile and low-cost unstable devices, which autonomously self-organize and introduce highly dynamic and heterogeneous scenarios for the deployment of distributed applications. This entails the devices to cooperate to dynamically find the suitable combination of their involvement so as to improve the system reliability while following the changes in their status. Focusing on the above scenario, we propose a distributed algorithm for resources allocation that is run by devices that can perform the same task required by the applications, allowing for a flexible and dynamic binding of the requested services with the physical IoT devices. It is based on a consensus approach, which maximizes the lifetime of groups of nodes involved and ensures the fulfillment of the requested Quality of Information (QoI) requirements. Experiments have been conducted with real devices, showing an improvement of device lifetime of more than 20%, with respect to a uniform distribution of tasks.

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“…Comprehensive ontologies that provide a semantic model for IoT are defined in [10] and [11]. Most of the existing studies on resource allocation for IoT are focused on IoT service provisioning, such as in [2] and [3]. None of the works found in the literature tries to find the optimal resource allocation associated to the lowest impact of the application assigned to the network.…”

Section: A Resource Allocation and Managementmentioning

confidence: 99%

“…Resource allocation for IoT This work has been partially funded by the project Artemis JU Demanes, Design, Monitoring and Operation of Adaptive Networked Embedded Systems, grant agreement no. 295372. services is treated in [2] [3]. In these studies, the aim is to find and allocate the resources that enable service execution.…”

Section: Introductionmentioning

confidence: 99%

Task allocation in group of nodes in the IoT: A consensus approach

Colistra

Pilloni

Atzori

2014

2014 IEEE International Conference on Communications (ICC)

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The realization of the Internet of Things (IoT) paradigm relies on the implementation of systems of cooperative intelligent objects with key interoperability capabilities. In order for objects to dynamically cooperate to IoT applications' execution, they need to make their resources available in a flexible way. However, available resources such as electrical energy, memory, processing, and object capability to perform a given task, are often limited. Therefore, resource allocation that ensures the fulfilment of network requirements is a critical challenge. In this paper, we propose a distributed optimization protocol based on consensus algorithm, to solve the problem of resource allocation and management in IoT heterogeneous networks. The proposed protocol is robust against links or nodes failures, so it's adaptive in dynamic scenarios where the network topology changes in runtime. We consider an IoT scenario where nodes involved in the same IoT task need to adjust their task frequency and buffer occupancy. We demonstrate that, using the proposed protocol, the network converges to a solution where resources are homogeneously allocated among nodes. Performance evaluation of experiments in simulation mode and in real scenarios show that the algorithm converges with a percentage error of about±5% with respect to the optimal allocation obtainable with a centralized approach

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Developing network software and communications protocols towards the internet of things

Cited by 17 publications

References 8 publications

IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things

IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things

Dynamic Involvement of Real World Objects in the IoT: A Consensus-Based Cooperation Approach

Task allocation in group of nodes in the IoT: A consensus approach

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