Adaptive networks include a set of nodes with adaptation and learning abilities for modeling various types of self-organized and complex activities encountered in the real world. This paper presents the effect of heterogeneously distributed incremental LMS algorithm with ideal links on the quality of unknown parameter estimation. In heterogeneous adaptive networks, a fraction of the nodes, defi...

Social networks, due to their popularity, have been studied extensively these years. A rich body of these studies is related to influence maximization, which aims to select a set of seed nodes for maximizing the expected number of active nodes at the end of the process. However, the set of active nodes can not fully represent the true coverage of information propagation. A node may be informed ...

Social networks, due to their popularity, have been studied extensively these years. A rich body of these studies is related to influence maximization, which aims to select a set of seed nodes for maximizing the expected number of active nodes at the end of the process. However, the set of active nodes can not fully represent the true coverage of information propagation. A node may be informed ...

Wireless networks often experience a significant amount of churn, i.e. the arrival and departure of nodes, and often it is necessary to keep all nodes informed about all other nodes in the network. In this paper we propose a distributed algorithm for single-hop networks that detects churn, meaning that the nodes observe other nodes joining or leaving the network and inform all other nodes in th...

background: pre-operative informed consent is an important aspect of surgery, yet there has been no formal training regarding it in pakistan. this study was done to assess the preoperative informed consent practice. methods: after taking informed permission, a questionnaire was filled in during an interview with 350 patients, who have undergone elective surgical procedures under routine practic...

We use the linear threshold model to study the diffusion of information on a network generated by the stochastic block model. We focus our analysis on a two-community structure where the initial set of informed nodes lies only in one of the two communities and we look for optimal network structures, i.e., those maximizing the asymptotic extent of the diffusion. We find that, constraining the me...

Honeybees swarm when they move to a new site for their hive. During the process of swarming, their behavior can be analyzed by classifying them as informed bees or uninformed bees, where the informed bees have some information about the destination while the uninformed bees follow the informed bees. The swarm’s movement can be viewed as a network of mobile nodes with asymmetric information exch...

Internet of Things (IoT) is operationally defined in this study as “an end-to-end fully-informed network associated with 433 MHz outdoor propagation environment”. The work motivated by the fact that minimizing delay and transmission time crucial to maintaining under propagation. This intended answers two questions: “how affect early detection failure:” faster necessary recover from a failure?”....

Distributed mutual exclusion is a fundamental problem of distributed systems that coordinates the access to critical shared resources. It concerns with how the various distributed processes access to the shared resources in a mutually exclusive manner. This paper presents fully distributed improved token based mutual exclusion algorithm for distributed system. In this algorithm, a process which...