Energy-Aware Topology Control And Qos Routing In Ad-Hoc Networks

Abstract

In order to reduce energy consumption in wireless ad hoc and sensor networks, the Topology Control (TC) remains one of the most important technique used. TC is able to construct network topologies, which have desired characteristics. It has also a dynamic ability to change the node transmitting range in a way to meet graph global property such as connectivity, while reducing energy consumption and radio interference. In this paper, we explore the energy-aware Topology Control in wireless ad hoc networks by formulating and solving the corresponding optimization problem. We propose an ILP formulation that minimizes the total transmission power needed by nodes to construct a topology that can meet Quality of Service (QoS) requirements between source and destination node pairs with less computational effort. The simulation results show that our algorithm has a better performance for data traffic in ad hoc networks. To evaluate the efficiency of our proposed algorithm, we compare its performance by simulation with another QoS model, using power efficiency measures.

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

“…In this section, simulation experiments are conducted to highlight the pertinence of the proposed solution in comparison with the performance of two other models. The first one is Jia et al [14], while the other is Routing-IP [15]. On the other hand, the performance of flow aggregation is also shown in terms of global energy consumption.…”

“…Therefore, it is more efficient to switch off a node as often as possible, since this decreases energy consumption and increases network lifetime. In [14], [15], the authors proposed a solution to determine the transmission power p i for each node to minimize the amount of energy consumed by all nodes within the network while meeting end-to-end QoS constraints in terms of delay and bandwidth. The present work aims at extending this solution by adding a flow aggregation technique to increase the number of unused nodes, hence significantly reducing global energy consumption within the network.…”

“…The core idea is to aggregate flows into a specific sub-set of nodes of the network, in order to minimize the number of nodes required to route a set of flows. Given a set of nodes in a two-dimensional surface and QoS requirements applicable to those flows, this idea consists in identifying a network topology that minimizes global energy consumption while simultaneously meeting QoS requirements which are the same as the ones that need to be respected in [14], [15]. Integer linear programming is used to formulate the problem.…”

Multicasting Based Enhanced Proactive Source Routing in MANETs

“…It discover link break at the same instant of time and repair routes for all affected data flow. Energyaware Topology Control scheme [18] for minimizes the total transmission power desired and construct a topology that satisfy the QoS necessities among transmitter and receiver. Stable Energy efficient QoS based Congestion and Delay aware Routing (SEQCDR) Protocol [15] utilized multiple metrics such as signal strength; queue length, drain rate and the delay for enhance the system performance.…”

Underwater MANETs: A Specialized Protocol (RANR) for Routing the Packet

“…Through-water acoustic correspondence connections are more latency and less data transfer capacity, particularly when contrasted with through-air radio connections. This presents troublesome issues in transfer of messages over an acoustic MANET.In spite of the fact that there is an abundance of present routing protocols of MANET, these were only produced for radio networking [12], and the protocols of radio don't stretch out wellto portable acoustic systems [13]. A prime reason is the considerable latency of the acoustic connections, particularly when contrasted with vehicle speed.…”