Abstract
RPL (Routing Protocol for low power and Lossy networks) is recommended by Internet Engineering Task Force (IETF) for IPv6-based LLNs (Low Power and Lossy Networks). RPL uses a proactive routing approach and each node always maintains an active path to the sink node. Sink-to-sink coordination defines syntax and semantics for the exchange of any network defined parameters among sink nodes like network size, traffic load, mobility of a sink, and so forth. The coordination allows sink to learn about the network condition of neighboring sinks. As a result, sinks can make coordinated decision to increase/decrease their network size for optimizing over all network performance in terms of load sharing, increasing network lifetime, and lowering end-to-end latency of communication. Currently, RPL does not provide any coordination framework that can define message exchange between different sink nodes for enhancing the network performance. In this paper, a sink-to-sink coordination framework is proposed which utilizes the periodic route maintenance messages issued by RPL to exchange network status observed at a sink with its neighboring sinks. The proposed framework distributes network load among sink nodes for achieving higher throughputs and longer network’s life time.
Highlights
Wireless Sensor Networks (WSNs) are a primitive part of smart environments such as smart homes, buildings, and cities [1]
WSNs are a part of LLNs that are generally characterized as low power and resource constrained devices that are interconnected with wireless links [3]
Internet Engineering Task Force (IETF) working group titled routing over low power and lossy networks proposed RPL [3, 5]
Summary
Wireless Sensor Networks (WSNs) are a primitive part of smart environments such as smart homes, buildings, and cities [1]. RPL does not provide any coordination framework that allows sink nodes to know about the presence of other sinks within the network. This type of coordination is important for network optimization. As a result, coordinated decision can be taken by the sink nodes to increase/decrease their network size for optimizing over all network performance in terms of load sharing to achieve higher throughput, increasing network lifetime, and lowering end-to-end latency of communication. The overall objective of this coordination is to enhance RPL’s performance so that, in the presence of multiple static or mobile sinks within the network, the network load is distributed among sink nodes for achieving higher throughputs and longer network’s life time. The last section concludes this paper along with future directions
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