This paper provides a state-of-the-art literature review on economic analysis and pricing
models for data collection and wireless communication in Internet of Things (IoT). Wireless …

The ability of sensors to self-organize is an important asset in surveillance sensor networks.
Self-organize implies self-control at the sensor level and coordination at the network level …

Multi-agent systems (MAS) offer an architecture for distributed problem solving. Distributed
data mining (DDM) algorithms focus on one class of such distributed problem solving tasks …

Transportation is one of the critical functions in any business, and its cost depends on many
constraints, including driver behavior, weather, distance, and demand in the market. This …

To coordinate effectively, multiple agents must reason about the interactions between their
local decisions. Distributed planning and scheduling, distributed resource allocation and …

Through automated negotiation we aim to improve task allocation in a distributed sensor
network. In particular, we look at a type of adaptive weather-sensing radar that permits the …

Multi-agent systems offer an architecture for distributed problem solving. Distributed data
mining algorithms specialize on one class of such distributed problem solving tasks …

We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in
dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-issue …

This paper describes a negotiation model that incorporates real-time issues for autonomous
agents. This model consists of two important ideas: a real-time logical negotiation protocol …

In this paper we describe an integrated multilevel learning approach to multiagent coalition
formation in a real-time environment. In our domain, agents negotiate to form teams to solve …