Bi-Objective Optimization for Energy Aware Internet of Things Service Composition

Energy Aware Management for Internet of Things

Service-Aware Clustering: An Energy-Efficient Model for the Internet-of-Things

Current generation wireless sensor routing algorithms and protocols have been designed based on a myopic routing approach, where the motes are assumed to have the same sensing and communication capabilities. Myopic routing is not a natural fit for the IoT, as it may lead to energy imbalance and subsequent short-lived sensor networks, routing the sensor readings over the most service-intensive s...

Service Composition Scenarios in the Internet of Things Paradigm

In this work the topic of service composition scenarios is introduced and discussed with the use of leading example of service composition in the transport domain. The example is used to visualize the connection to the Internet of Things paradigm. The service composition itself is defined with a holistic approach, describing all steps of the proposed composition process like: requirements defin...

Energy Efficient Multi Path Routing Protocol in Internet of Things

Internet of things (IoT) is a network with a wide range of smart and physical objects and gadgets that can exchange information with each other. IOT introduces a variety of services that human life is dependent on its secure and accessible activities. These networks face numerous problems in terms of energy consumption and reliable communication to send the correct data. Moreover, the character...

A Bi-objective Optimization for Vendor Managed Inventory Model

Vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. Previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. This paper presents a bi-objective mathematical mod...