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Flow Aggregation for Energy-Aware Ad-Hoc Wireless Networks Respecting QoS Provisions

Boukrim Mustapha, Antari Jilali

Journal of Telecommunications and Information Technology

2020

nr 1

31--38

Emerging communication technologies are now leading developers to design IT systems taking into count their energy-related considerations. Much research performed in the area of ad-hoc wireless networks tends to distribute the ﬂows over all nodes of the network, which increases the amount of energy consumed by each node and reduces longevity of the network. To overcome these problems, this paper seeks to aggregate a set of ﬂows within a number of nodes that is as low as possible in order to be capable of routing those ﬂows. This proposal allows to maximize the number of network nodes that may be turned oﬀ. The proposed solution was formulated as an integer linear programming (ILP) problem using a set of energy and quality of service (QoS) constraints. This formulation minimizes the total energy consumed by the nodes to construct a topology network that is capable of meeting QoS requirement for a set ﬂows inserted into the network. To evaluate the eﬃciency of the proposed model, a performance-based comparison was conducted with another routing model. The simulation results show that the proposed model oﬀers better performance in terms of global energy consumption and network load.

On a practical approach to low-cost ad hoc wireless networking

Gburzyński P., Olesiński W.

Journal of Telecommunications and Information Technology

2008

nr 1

29-42

Although simple wireless communication involving nodes built of microcontrollers and radio devices from the low end of the price spectrum is quite popular these days, one seldom hears about serious wireless networks built from such devices. Most of the commercially available nodes for ad hoc networking (somewhat inappropriately called "motes") are in fact quite serious computers with megabytes of RAM and rather extravagant resource demands. We show how one can build practical ad hoc networks using the smallest and cheapest devices vailable today. In our networks, such devices are capable of sustaining swarm-intelligent sophisticated routing while offering enough processing power to cater to complex applications involving distributed sensing and monitoring.