Context: At present, sensor-based systems are widely used to solve distributed problems in
changing environments where sensors are controlled by intelligent agents. On Multi-Agent …

Team formation (TF) faces the problem of defining teams of agents able to accomplish a set
of tasks. Resilience on TF problems aims to provide robustness and adaptability to …

Modern networking architectures are making it increasingly possible to disperse services not
just across servers but into intermediate network devices as well. Here we introduce the …

Edge computing is a paradigm for improving the performance of cloud computing systems
by performing data processing at the edge of the network, closer to the users and sources of …

Resource management is a key challenge in multiagent systems. It is especially important in
dynamic environments where decisions need to be made quickly and when decisions can …

This paper describes load balancing algorithm for Wireless LAN (WLANs). The traffic load of
WLANs is often distributed unevenly among access points. The load balancing mechanism …

In recent years, the scientific community has shown a special interest in the research,
deployment, and use of computational, heterogeneous, and autonomous entities as …

Conventional mobile state (MS) and base station (BS) association based on average signal
strength often results in imbalance of cell load which may require more powerful processor …

Edge computing is a paradigm for improving the performance of cloud computing systems
by performing data processing at the edge of the network, closer to the users and sources of …

This paper describes load balancing algorithm for Wireless LAN (WLANs). The traffic load of
WLANs is often distributed unevenly among access points. The load balancing mechanism …