This paper presents an efficient distributed algorithm for line-of- sight (LoS) computation using directed breadth-first search (DBFS). LoS  computation  could  be  achieved  between  objects  located  at different points of a digital-elevation-model (DEM) which could also  match  particular  geographic  or  electromagnetic  dynamic considerations.  Cellular  automata  (CA)  is  efficient  for  modeling and simulating dynamic complex systems, especially suitable for parallel  processing  on  grid  cell  data.  Occam,  a  parallel programming  language  following  the  formalization  of Communicating  Sequential  Processes  (CSP),  was  introduced  for achieving high performance on multi-core processors. The goal of this work is to produce a power profile as a function of the route for radio  propagation  analysis  taking  into  account  geographical topology, for example long-range (LoRa) technology. To evaluate the proposed approach, cell local behavior was developed in Occam for  horizontal  routing  information  based  on  a  message-passing model in order to satisfy the requirements of distributed sensing networks,  such  as  maximizing  coverage  area,  saving  energy consumption and improving system performance as well.