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A new Network Coding mechanism in WSNs (Wireless Sensor Networks), which is named COEQ and aims at balancing coding opportunities, energy and QoS, is proposed and analyzed. Implemented on the basis of traditional AODV protocol, COEQ evaluates several metrics of paths comprehensively with TOPSIS method including minimum remaining energy, coding opportunities, QoS and so on, so as to select the optimal...
According to wireless sensor network (WSN) nodes have unstable performance and are easy to lose effectiveness, a WSN routing failure node verification method, NEVM (Node-Encoding Verification Method), based on node encoding is proposed. The method encodes failure route node with binary encoding and generates more verification path, then sends verification packages to each path and generates a sequence...
The problem of correlated data gathering in wireless sensor networks is studied in this paper. For the sake of efficiency, tree transmission structures are often used for data gathering. Previously, the problem of minimizing the total communication cost with a single-tree transmission structure was shown to be NP-hard. However, when the explicit communication approach is used, the total communication...
In this paper, we study the problem of data acquisition in wireless sensor networks (WSNs). A recently revitalized technique called compressive sensing (CS) has presented a new method to capture sparse signals at a rate below Nyquist. There are drawbacks to directly applying the existing CS algorithm to WSNs, which are mainly due to the fact that CS requires a large number of inter-communications...
Network coding scheme improves throughput and reliability in a Wireless Sensor Network. A straight forward broadcasting by flooding in a wireless sensor network is very costly and reduce the network coding benefit. The packet loss probability increases due to contention and collision which is referred as broadcast storm problem. In this paper, we have proposed a Network Coding based Probabilistic...
Based on the empirical studies of approximate linear correlation between transmission power and link quality, we propose a multi-power opportunistic routing scheme with network coding for wireless sensor networks. A new routing metric taking energy consumption and link quality into account is defined, and an optimal transmission power and forwarding set selection algorithm is implemented, which is...
In this paper, we investigate the design of decentralized encoding procedure for distributed random linear coding (RLC) in resource-constrained wireless networks. We propose a novel distributed RLC scheme called “Fireworks”, analyze its performance and support it by simulation results. The presented results demonstrate design flexibility of the proposed scheme, where the design choices influence the...
The nodes in wireless sensor networks often collect correlated measurements. Not taking into account this information redundancy is detrimental to the network lifetime, since communication is often the most energy consuming task for a sensor node. This paper tackles this issue by proposing an approach based on Distributed Source Coding (DSC), in which the rate assignments are adapted over time. The...
Overcoming the disparity between the amount of data a wireless sensor network can transfer before depleting its limited energy resources is an ongoing challenging. This is particularly important when the entire state of the network is required, such as when a global predicate must be evaluated. This paper presents an scalable adaptive data collection algorithm for gathering all sensor node readings...
We address the problem of routing mobile agent with fusion cost in WSN under two scenarios: all source nodes, and a part of source nodes to be visited, respectively. Two objective functions in terms of minimizing transmission and fusion energy expenditure in the two scenarios are formulated, and proved to be NP-complete. Furthermore, we propose a two-level encoding based genetic algorithm (GA) to...
The task scheduling in the network demands as far as possible the shortest task completion time, the lowest energy consumption and the highest balanced use of energy under limited energy of nodes. Therefore, traditional multiprocessor Directed Acyclic Graph (DAG) scheduling algorithm can not be directly applied to sensor task scheduling. This paper proposes an Energy Balanced DAG Task Scheduling algorithm...
Data communication in wireless sensor networks (WSNs) exhibits distinctive characteristics. Routing in WSNs still relies on simple variations of traditional distance vector or link state based protocols, thus suffering low throughput and less robustness. Drawing intuitions from the Brownian motions where localized momentum exchanges enable global energy diffusion, we propose an innovative routing...
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