4 research outputs found
IPv6 multicast forwarding in RPL-based wireless sensor networks
In wireless sensor deployments, network layer multicast can be used to improve the bandwidth and energy efficiency for a variety of applications, such as service discovery or network management. However, despite efforts to adopt IPv6 in networks of constrained devices, multicast has been somewhat overlooked. The Multicast Forwarding Using Trickle (Trickle Multicast) internet draft is one of the most noteworthy efforts. The specification of the IPv6 routing protocol for low power and lossy networks (RPL) also attempts to address the area but leaves many questions unanswered. In this paper we highlight our concerns about both these approaches. Subsequently, we present our alternative mechanism, called stateless multicast RPL forwarding algorithm (SMRF), which addresses the aforementioned drawbacks. Having extended the TCP/IP engine of the Contiki embedded operating system to support both trickle multicast (TM) and SMRF, we present an in-depth comparison, backed by simulated evaluation as well as by experiments conducted on a multi-hop hardware testbed. Results demonstrate that SMRF achieves significant delay and energy efficiency improvements at the cost of a small increase in packet loss. The outcome of our hardware experiments show that simulation results were realistic. Lastly, we evaluate both algorithms in terms of code size and memory requirements, highlighting SMRF's low implementation complexity. Both implementations have been made available to the community for adoption
IPv6 Multicast Forwarding in RPL-Based Wireless Sensor Networks
This article was published in the journal, Wireless Personal Communications [© Springer Science+Business Media] and the definitive version is available at: http://dx.doi.org/10.1007/s11277-013-1250-5In wireless sensor deployments, network layer multicast can be used to improve the bandwidth and energy efficiency for a variety of applications, such as service discovery or network management. However, despite efforts to adopt IPv6 in networks of constrained devices, multicast has been somewhat overlooked. The Multicast Forwarding Using Trickle (Trickle Multicast) internet draft is one of the most noteworthy efforts. The specification of the IPv6 routing protocol for low power and lossy networks (RPL) also attempts to address the area but leaves many questions unanswered. In this paper we highlight our concerns about both these approaches. Subsequently, we present our alternative mechanism, called stateless multicast RPL forwarding algorithm (SMRF), which addresses the aforementioned drawbacks. Having extended the TCP/IP engine of the Contiki embedded operating system to support both trickle multicast (TM) and SMRF, we present an in-depth comparison, backed by simulated evaluation as well as by experiments conducted on a multi-hop hardware testbed. Results demonstrate that SMRF achieves significant delay and energy efficiency improvements at the cost of a small increase in packet loss. The outcome of our hardware experiments show that simulation results were realistic. Lastly, we evaluate both algorithms in terms of code size and memory requirements, highlighting SMRF's low implementation complexity. Both implementations have been made available to the community for adoption
A group-based architecture and protocol for wireless sensor networks
There are many works related to wireless sensor networks (WSNs) where
authors present new protocols with better or enhanced features, others just
compare their performance or present an application, but this work tries to provide
a different perspective. Why don¿t we see the network as a whole and split it into
groups to give better network performance regardless of the routing protocol?
For this reason, in this thesis we demonstrate through simulations that
node¿s grouping feature in WSN improves the network¿s behavior. We propose the
creation of a group-based architecture, where nodes have the same functionality
within the network. Each group has a head node, which defines the area in which
the nodes of such group are located. Each node has a unique node identifier
(nodeID). First group¿s node makes a group identifier (groupID).
New nodes will know their groupID and nodeID of their neighbors. End
nodes are, physically, the nodes that define a group. When there is an event on a
node, this event is sent to all nodes in its group in order to take an appropriate
action. End nodes have connections to other end nodes of neighboring groups and
they will be used to send data to other groups or to receive information from other
groups and to distribute it within their group. Links between end nodes of different
groups are established mainly depending on their position, but if there are multiple
possibilities, neighbor nodes could be selected based on their ability ¿, being ¿ a
choice parameter taking into account several network and nodes parameters. In
order to set group¿s boundaries, we can consider two options, namely: i) limiting
the group¿s diameter of a maximum number of hops, and ii) establishing
boundaries of covered area.
In order to improve the proposed group-based architecture, we add
collaboration between groups. A collaborative group-based network gives better
performance to the group and to the whole system, thereby avoiding unnecessary
message forwarding and additional overheads while saving energy. Grouping
nodes also diminishes the average network delay while allowing scaling the
network considerably. In order to offer an optimized monitoring process, and in
order to offer the best reply in particular environments, group-based collaborative
systems are needed. They will simplify the monitoring needs while offering direct
control.
Finally, we propose a marine application where a variant of this groupbased architecture could be applied and deployed.García Pineda, M. (2013). A group-based architecture and protocol for wireless sensor networks [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/27599TESISPremios Extraordinarios de tesis doctorale