Current IoT services include industry-oriented services, which often require objects to run more than one task. However, the exponential growth of objects in IoT poses the challenge of distributing and managing task allocation among objects. One of the main goals of task allocation is to improve the quality of information and maximize the tasks to be performed. Although there are approaches that optimize and manage the dynamics of nodes, not all consider the quality of information and the distributed allocation over the cluster service. This paper proposes a mechanism called CONTASKI for task allocation in IoT networks in order to distribute task tasks among objects. It relies on collaborative consensus strategies to allocate tasks and similarity capabilities to determine which objects can play in accomplishing those tasks. CONSTAKI was evaluated on NS-3 and achieved 100% efficiency of allocated tasksand, on average, more than 80% clusters performed tasks.