Abstract
Internet of things (IoT) for precision agriculture or Smart Farming (SF) is an emerging area of application. It consists essentially of deploying wireless sensor networks (WSNs), composed of IP-enabled sensor nodes, in a partitioned farmland area. When the surface, diversity, and complexity of the farm increases, the number of sensing nodes increases, generating heavy exchange of data and messages, and thus leading to network congestion, radio interference, and high energy consumption. In this work, we propose a novel routing algorithm extending the well known IPv6 Routing Protocol for Low power and Lossy Networks (RPL), the standard routing protocol used for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). It is referred to as the Partition Aware-RPL (PA-RPL) and improves the performance of the standard RPL. In contrast to RPL, the proposed technique builds a routing topology enabling efficient in-network data aggregation, hence dramatically reducing data traffic through the network. Performance analysis of a typical/realistic precision agriculture case, considering the potato pest prevention from the well-known late blight disease, shows that PA-RPL improves energy saving up to compared to standard RPL.
Highlights
The Internet of things (IoT) [1] is a networking paradigm that covers the extension of the traditionalInternet to integrate the so called Lossy and Low power Networks (LLNs)
We focus on enhancing RPL in the Smart Farming (SF) context, by proposing a new objective function that optimizes the generated routing DODAG, so that it reflects the spatial partitioning of the monitored farm
This motivates the need for a built DODAG that reflects the physical distribution of crops over the parcels: it turns out that in-network aggregation is easier to implement for smart farming applications whenever this property is achieved
Summary
The Internet of things (IoT) [1] is a networking paradigm that covers the extension of the traditional. We illustrate the RPL limitations, especially in terms of in-network aggregations This motivates the need for an improved RPL, which is capable of building a routing topology that enables efficient in-network data aggregation, taking into account the physical partition of the farm into parcels/sectors. For this purpose, we propose a new objective function to be integrated into. An attractive feature of this proposal is the fact that its tree structure reflects the spatial partition of the monitored farm With such a structure, the collected data in each parcel will be gathered in one particular elected node within the parcel, called Parcel Head (PH), in order to be processed/aggregated before being sent upward to the sink node.
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