We present DINTA, Distributed In-network Task Allocation a novel paradigm for multi-robot task allocation (MRTA) where tasks are allocated implicitly to robots by a pre-deployed, static sensor network. Experimental results with a simulated alarm scenario show that our approach is able to compute solutions to the MRTA problem in a distributed fashion. We compared our approach to a strategy where...

In Distributed Real Time System (DRTS), systematic allocation of the tasks among processors is one of the important parameter, which determine the optimal utilization of available resources. If this step is not performed properly, an increase in the number of processing nodes results in decreasing the total system throughput. The Inter-Task Communication (ITC) is always the most costly and the ...

The work presented here investigates the impact of certain environmental parameters on the performance of a multi-robot team conducting exploration tasks. Experiments were conducted with physical robots and simulated robots, and a diverse set of metrics was computed. The experiments were structured to highlight several factors: (a) single-robot versus multi-robot tasks; (b) independent versus d...

Task allocation is a fundamental problem that any multirobot system must address. Numerous multi-robot task allocation schemes have been proposed over the past decade. A vast majority of these schemes address the problem of assigning a single robot to each task. However as the complexity of multi-robot tasks increases, often situations arise where multiple robot teams need to be assigned to a s...

We present a model of absolute autonomy and power in agent systems. This absolute sense of autonomy captures the agent’s liberty over an agent’s preferences. Our model characterizes an affinity between autonomy and power. We argue that agents with similar individual autonomy and power experience an adjusted level of autonomy and power due to being in a group of like agents. We then illustrate o...

Figure 1: Adaptive Cruise Control With the increasing number of ECUs in modern automotive applications (70 in high end cars), designers are facing the challenge of managing complex design tasks, such as the allocation of software tasks over a network of ECUs. The allocation may be dictated by different attributes ( performance, cost, size, etc.). The task of validating a given allocation can be...

This paper presents an adaptive scheme for a sub-function in Asynchronous Transfer Mode (ATM) network routing, called link allocation. The scheme adapts the link allocation policy to the offered Poisson call traffic such that the long-term revenue in maximized. It decomposes the link allocation task into a set of link admission control (LAC) tasks, formulated as semi-Markov Decision Problems (S...

Business Process Management Systems (BPMS) is a complex information system that provides designing, administrating, and improving the business processes. Task allocation to human resources is one of the most important issues which should be managed more efficiently in BPMS. Task allocation algorithms are defined in order to meet the various policies of organizations. The most important of these...