SCHEDULING PROBLEMS IN WIRELESS SENSOR NETWORKS AND INTERNET OF THINGS: A COMPARATIVE OVERVIEW

In communication networks with low power communication device levels, minimizing communication delay is an important and helpful problem since it attempts to reduce energy consumption and hence increase network lifetime. Specifically, the lowest latency problem for Wireless Sensor Networks (WSNs) has been extensively studied. Furthermore, a number of WSN techniques have been misapplied to Internet of Things devices, mistreating them as interchangeable. Since WSNs are specific instances (subsets) of IoTs, the current solutions for some WSNs can only address those associated unique situations. Therefore, it is better to develop optimization techniques that support both unique circumstances and more common and realistic IoT scenarios.

We discuss the distinctions between WSNs and IoTs and show how typical antenna and interference models for WSNs, which are widely used, cannot be directly extended to all IoTs. In addition, we create new antenna and interference models that support Internet of Things. Moreover, we present a comparative review and analysis of the problems associated with reducing scheduling latencies for four distinct group communication patterns in WSNs and IoTs: aggregation, data gathering, gossiping, and broadcasting. Finally, we conclude with a few suggestions for additional study.

Keywords: Wireless Sensor Network, Broadcasting, Gossiping, Data Gathering and Aggregation.