IEEE 802.16 systems provide broadband wireless access to subscriber stations (SSs). An 802.16 wireless system can operate in mesh mode, where SSs form a multihop network to the base station. The centralized scheduling...
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In this paper we present routing algorithms that are universal in the sense that they route messages along arbitrary (simple) paths in arbitrary networks. The algorithms are analyzed in terms of the number of messages...
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This paper presents new results on routing unicast (one-to-one) assignments over Benes networks. Parallel routing algorithms with polylogarithmic routing times have been reported earlier [10,8], but these algorithms c...
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Many localization algorithms require that at least some nodes in a network know their correct real position. Anchor-free localization algorithms manage to assign to all nodes virtual coordinates (VC) without knowledge...
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Conventional Public Transport (PT) is based on fixed lines, running with routes and schedules determined a-priori. In low-demand areas, conventional PT is inefficient. Therein, Mobility on Demand (MoD) could serve use...
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Conventional Public Transport (PT) is based on fixed lines, running with routes and schedules determined a-priori. In low-demand areas, conventional PT is inefficient. Therein, Mobility on Demand (MoD) could serve users more efficiently and with an improved quality of service (QoS). The idea of integrating MoD into PT is therefore abundantly discussed by researchers and practitioners, mainly in the form of adding MoD on top of PT. Efficiency can be instead gained if also conventional PT lines are redesigned after integrating MoD in the first or last mile. In this paper we focus on this re-design problem. We devise a bilevel optimization problem where, given a certain initial design, the upper level determines stop selection and frequency settings, while the lower level routes a feet of MoD vehicles. We propose a solution method based on Particle Swarm Optimization (PSO) for the upper level, while we adopt Large Neighborhood Search (LNS) in the lower level. Our solution method is computationally efficient and we test it in simulations with up to 10k travel requests. Results show important operational cost savings obtained via appropriately reducing the conventional PT coverage after integrating MoD, while preserving QoS.
This paper investigates the scalability and coverage of long range (LoRa) mesh networks deployed for monitoring linear infrastructure, such as railways and pipelines. Although the monitored infrastructure is linear, t...
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Vehicular Ad Hoc Networks (VANETs) are self-configuring networks where the nodes are vehicles equipped with wireless communication technologies. In such networks, limitation of signal coverage and fast topology change...
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Vehicular Ad Hoc Networks (VANETs) are self-configuring networks where the nodes are vehicles equipped with wireless communication technologies. In such networks, limitation of signal coverage and fast topology changes impose difficulties to the proper functioning of the routing protocols. Traditional Mobile Ad Hoc Networks (MANET) routing protocols lose their performance, when communicating between vehicles, compromising information exchange. Obviously, most applications critically rely on routing protocols. Thus, in this work, we propose a methodology for investigating the performance of well-established protocols for MANETs in the VANET arena and, at the same time, we introduce a routing protocol, called Genetic Network Protocol (G-NET). It is based in part on Dynamic Source routing Protocol (DSR) and on the use of Genetic algorithms (GAs) for maintenance and route optimization. As G-NET update routes periodically, this work investigates its performance compared to DSR and Ad Hoc on demand Distance Vector (AODV). For more realistic simulation of vehicle movement in urban environments, an analysis was performed by using the VanetMobiSim mobility generator and the Network Simulator (NS-3). Experiments were conducted with different number of vehicles and the results show that, despite the increased routing overhead with respect to DSR, G-NET is better than AODV and provides comparable data delivery rate to the other protocols in the analyzed scenarios.
The article presents intelligent routing algorithms currently used in sensory networks, in terms of determining the possibility of their integration into systems working in potentially explosive atmospheres. Selected ...
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The article presents intelligent routing algorithms currently used in sensory networks, in terms of determining the possibility of their integration into systems working in potentially explosive atmospheres. Selected types of scribing algorithms were characterized. The analysis of simulation tests performed on selected types of scribing algorithms was carried out. The analysis of equipment solutions which can be used to build a network node operating in the conditions of methane and/or coal dust explosion hazard was carried out.
Unlike conventional cellular networks where the evolved Node B (eNB) performs centralised scheduling, future relay-enhanced cellular (REC) networks allow relay nodes (RNs) to schedule users independently. This decentr...
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Unlike conventional cellular networks where the evolved Node B (eNB) performs centralised scheduling, future relay-enhanced cellular (REC) networks allow relay nodes (RNs) to schedule users independently. This decentralised nature of the REC networks brings about challenges to maintain fairness. In this study, we formulate the generalised proportional fair (GPF) resource allocation problem, where resource partition and routing are included as part of the overall radio resource management aiming to provide fairness across all users served by the eNB and its subordinate RNs. Although the traditional proportional fair scheduling algorithm is executed independently at the eNB and each RN to maintain local fairness, we propose efficient resource partition and routing algorithms to maintain global fairness by optimising the GPF objective for the whole relay-enhanced cell. Through system level simulations, the proposed algorithms are evaluated and compared with both non-relaying and relaying systems with benchmark resource partition and routing algorithms. The simulation results show that the proposed algorithms outperform the existing algorithms in providing a better trade-off between system throughput and fairness performance.
Multicast routing problem is usually treated as Steiner tree problem that asks for a tree of minimal cost that interconnects the source and destination *** this well-known model,multicast routing under multi-tree mode...
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Multicast routing problem is usually treated as Steiner tree problem that asks for a tree of minimal cost that interconnects the source and destination *** this well-known model,multicast routing under multi-tree model is to find a set of trees rooted at the source node such that in each tree at most a fixed number of destination nodes are allowed to receive the data and every destination node must be designated in one of the trees to receive the *** cost of routing is the total costs of trees *** this paper we study how to construct a multicast routing of minimal cost under multi-tree *** propose two approximation algorithms for this NP-hard problem with guaranteed performance ratios.
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