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matlab codes for opportunistic routing

Energy savings optimization becomes one of the
major concerns in the wireless sensor network (WSN) routing protocol
design, due to the fact that most sensor nodes are equipped
with the limited nonrechargeable battery power. In this paper, we
focus onminimizing energy consumption and maximizing network
lifetime for data relay in one-dimensional (1-D) queue network.
Following the principle of opportunistic routing theory, multihop
relay decision to optimize the network energy efficiency is made
based on the differences among sensor nodes, in terms of both their
distance to sink and the residual energy of each other. Specifically,
an Energy Saving via Opportunistic Routing (ENS_OR) algorithm
is designed to ensure minimum power cost during data relay and
protect the nodes with relatively low residual energy. Extensive
simulations and real testbed results show that the proposed solution
ENS_OR can significantly improve the network performance
on energy saving and wireless connectivity in comparison with
other existingWSN routing schemes.
The great advances in wireless technology have allowed the deployment of wireless communication networks in some of the most hostile environments, such as volcanoes, hurricane-affected regions and underground mines. In such challenging environments that suffer from lack of infrastructure, traditional routing is not efficient and, sometimes, it is not even feasible. In addition, the exponential growth of the number of connected wireless devices has created the need for a new routing paradigm that could benefit from the possibilities offered by these heterogeneous wireless devices. Therefore, to overcome the limitations of traditional routing and increase the capacity of current heterogeneous dynamic wireless networks, the paradigm of opportunistic routing has been proposed and developed in recent research works. Motivated by the great interest that has been attributed to this new paradigm in the last decade, we provide an exhaustive study of the existing literature related to opportunistic routing. First we study the main opportunistic routing design blocks. Then, we provide a taxonomy for opportunistic routing proposals, based on their routing objectives, as well as the optimization tools and approaches used in the routing design. Therefore, five classes of opportunistic routes are defined and studied in this document, namely geographic opportunistic routing, opportunistic routing with link status recognition, probabilistic opportunistic routing, opportunistic routing based on optimization and opportunistic cross-layer routing. We also review the main protocols proposed in the literature for each class.

Marked Categories : energy consumption wsn matlab code,

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