In this paper we discuss the conditions of network coding technique applicability to 6LoWPAN/IEEE802.15.4-based sensor networks. The paper shows that the network coding technique based on the COPE solution can be used...
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In this paper we discuss the conditions of network coding technique applicability to 6LoWPAN/IEEE802.15.4-based sensor networks. The paper shows that the network coding technique based on the COPE solution can be used in sensor network however not without constraints. The main problem concerns a limited memory of the sensor nodes, header compression used in 6LoWPAN standard and limitations in 6LoWPAN implementations.
In dense wireless local area networks (WLANs), the hidden stations (HSs) cause severe collisions and performance degradation. Although cooperative communications can achieve spatial diversity, how to efficiently coope...
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ISBN:
(纸本)9781479984077
In dense wireless local area networks (WLANs), the hidden stations (HSs) cause severe collisions and performance degradation. Although cooperative communications can achieve spatial diversity, how to efficiently cooperate in a wireless network is a challenging issue due to the distributed nature of the stations. The contributions of this paper are two-fold. First, we establish an analytical model for the IEEE 802.11 WLANs with HSs using the mean value analysis method, which can provide the theoretical results of collision probability, frame service time and network throughput. Second, we propose a new medium access control (MAC) protocol, named network coding cooperative MAC (NCC-MAC) to utilize cooperation to relieve the HS problem. Different from the traditional RTS/CTS scheme, NCC-MAC utilizes random linear coding (RLC) to realize opportunistic cooperative transmission without extra control messages. Furthermore, the ACK-triggering mechanism is introduced which can help to avoid repeated collision caused by HS(s) in dense WLANs and also improve the efficiency of the coded cooperation. Simulations have been conducted to compare the performance of NCC-MAC with DCF, simple cooperative MAC (SC-MAC) without network coding, and other cooperative MAC in the literature. The results show that NCC-MAC can effectively realize station cooperation and reduce the effect of HS(s), improving the network throughput and delay performance considerably.
We argue that the main benefits of network coding in a wireless environment might manifest in situations where the topology dynamically changes, and operation is restricted to distributed algorithms that do not employ...
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We argue that the main benefits of network coding in a wireless environment might manifest in situations where the topology dynamically changes, and operation is restricted to distributed algorithms that do not employ knowledge about the network environment. We consider several problem instances in this set-up, that include broadcasting information to all nodes of the network and collecting sensor measurements. We show that in many such cases, under some simplifying assumptions, the problem is theoretically equivalent to simple variations of the coupon collector problem. Thus network coding can offer benefits of a factor of log n, where n is the number of nodes and the benefits are in terms of energy efficiency, as was proven in [3]. We present simulation results under more realistic conditions that support this claim.
In this paper, we propose a novel fading correction and relaying scheme for physical layer network coding (PLNC) in the two-way relay (TWR) fading channel. The fading correction on the soft-bit level at nodes can elim...
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ISBN:
(纸本)9781457720529
In this paper, we propose a novel fading correction and relaying scheme for physical layer network coding (PLNC) in the two-way relay (TWR) fading channel. The fading correction on the soft-bit level at nodes can eliminate the effect of fading on the TWR channel. In order to broadcast the soft-bit in an optimal way, we design a quantize-and-forward scheme which is robust for the TWR fading channel. In addition, an optimized mapping is used to implement unequal error protection (UEP) for bits with different significance in the quantization index. The soft-bit correction and the robust quantize-and-forward scheme are fully compatible with one another. Both low complexity and good performance can be provided.
Recent advances in network coding have shown great potential for efficient information transfer. In this paper, exploiting inter-layer and inter-session network coding, we address the distributed control problem in he...
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ISBN:
(纸本)9781479930845
Recent advances in network coding have shown great potential for efficient information transfer. In this paper, exploiting inter-layer and inter-session network coding, we address the distributed control problem in heterogeneous-service networks (HSNs) with booming multi-rate multicast (MRM) and unicast (UC) services. Different from the literatures on inter-layer/inter-session schemes, heterogeneity and fairness among MRM users and between different services are jointly considered. With the Lagrangian and subgradient method, a decentralized rate control algorithm is developed with little coordination among intermediate nodes, in which only local information is needed to achieve rate, congestion, and fairness balance control. Numerical examples are provided to verify the effectiveness and convergence of the proposed algorithm. Furthermore, we demonstrate the performance improvement and implementation advantages of the proposed algorithm compared with the previous solutions considering layered coding for an MRM service or inter-session coding limited for UC services.
In this paper we analyze performance of network coding focusing on two specific network coding schemes: XOR and random linear network coding. We have simulated different topologies and traffic patterns in order to pro...
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In this paper we analyze performance of network coding focusing on two specific network coding schemes: XOR and random linear network coding. We have simulated different topologies and traffic patterns in order to provide better understanding of network coding behavior and its possible bottlenecks. As a part of our performance evaluation we address computational complexity of coding and decoding operations and benefits of network coding. In particular, we indicate potential drawbacks and trade-offs of network coding when applied on specific topologies. The conclusion is that even applied over robust networks, network coding is not a magic bullet for a better performance.
This paper investigates the network coding resource minimization problem in the context of dynamic network environment. As a combination of multiagent systems and evolutionary algorithm, multiagent evolutionary algori...
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ISBN:
(纸本)9781510829039
This paper investigates the network coding resource minimization problem in the context of dynamic network environment. As a combination of multiagent systems and evolutionary algorithm, multiagent evolutionary algorithm（MAEA） is adapted for the above NP-hard problem. Simulation results demonstrate that the proposed MAEA outperforms a number of state-of-the-art evolutionary algorithms with respect to the solution quality.
We study the scaling law governing the delay gains of network coding as compared to traditional transmission strategies in unreliable wireless networks. We distinguish between two types of traffic, namely elastic and ...
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We study the scaling law governing the delay gains of network coding as compared to traditional transmission strategies in unreliable wireless networks. We distinguish between two types of traffic, namely elastic and inelastic, where the elasticity of a flow is based on the delay constraints associated with it. This novel formulation is useful in that it allows for the modeling of real-time traffic more accurately. Considering the limited availability of feedback in such systems, we focus on strategies with minimal acknowledgement requirements. Under both traffic types, we provide an extensive analysis of the gains of network coding as compared to traditional transmission strategies in a single-hop setting, and show that the gains are significant in general and can be considerably large in some cases. We further provide a method for realizing these gains in multi-hop networks with general topologies using the analysis of the single hop scenario.
Energy efficiency (EE) is among the main considerations in the design of modern wireless networks. In this paper, we investigate the EE enhancement for asymmetric analog network coding (ANC) protocol of a two-way rela...
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ISBN:
(纸本)9781467359382
Energy efficiency (EE) is among the main considerations in the design of modern wireless networks. In this paper, we investigate the EE enhancement for asymmetric analog network coding (ANC) protocol of a two-way relay system based on statistical channel information. A power allocation problem is formulated as the system EE maximization problem with objective function quantified by Goodbit-per-Energy (GPE). Importantly, the EE optimization problem may not be convex and can be categorized into a nonlinear fractional programming problem. Therefore, to solve the problem, a nonlinear fractional programming based algorithm is proposed and closed-form solution is obtained, providing valuable insights into practical system designs. Simulation results highlight the effect of the proposed power allocation.
In vehicular ad hoc networks, network coding and cooperative for message propagation have attracted considerable attention as ways to reduce the outage probability to improve the system performances. In this paper, we...
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ISBN:
(纸本)9781509027446
In vehicular ad hoc networks, network coding and cooperative for message propagation have attracted considerable attention as ways to reduce the outage probability to improve the system performances. In this paper, we analyze the exact expression of outage probability and give an approximated expression over the Nakagami-m fading channel with dynamic network coding(DNC) and MIMO dynamic networks coding(MIMO-DNC). Simulation results indicate that the approximated curves are matched well with the exact ones at high SNR. Compared with the exact expression, the calculation amount can be reduced by the approximated expression.
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