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When the use of wireless sensors network is becoming increasingly wider and deeper, its problems are also beginning to highlight. Due to the limit of wireless sensors' energy supply and the unstable channel, ensuring the reliability and speed of the transmission has become the research hot spot. With multipath or retransmission transmission mechanism, the redundancy of data transmission can be ensured...
Container transportation has become the main transportation form for international freight. In this paper, the energy saving and reliability tactics are considered and we design a new E-ZBR routing algorithm based on the original ZBR routing protocol. Firstly we propose the score criterion for estimating a path, and then based on nodes' connectivity, we select two existed better routing paths through...
As the virtual backbone of the network, connected dominating set (CDS) plays an important role in supporting data communication, reducing the routing overhead, and enhancing the scalability of the network. Traditional CDS construction algorithms are usually applied to the networks with homogeneous nodes, e.g., a pure wireless sensor network. In the past few years, Wireless Sensor and Actor Networks...
The main role of wireless sensor networks is to collect environmental data. As the sensor nodes are vulnerable and work in unpredictable environments, sensors are possible to fail and return unexpected response. Therefore, fault detection and recovery are important in wireless sensor networks. In this paper, we propose a fault detection algorithm based on support vector regression, which predicts...
By routing protocol modeling, we can better understand the performance characteristics in different causes. In this paper, we will use the excellent tool in distributed systems and parallel systems, named QPN (Queueing Petri Net). And, we use the simulation tools of QPN, including QPME2.01 and SimQPN, to model the important metrics of routing method in Delay Tolerant Networks. In our previous paper,...
In sensor networks, skeleton extraction has emerged as an appealing approach to support many applications such as load-balanced routing and location-free segmentation. While significant advances have been made for 2D cases, so far skeleton extraction for 3D sensor networks has not been thoroughly studied. In this paper, we conduct the first work on the skeleton extraction in 3D sensor networks, and...
Multicast communication has been commonly used in multiprocessor systems. Current multicast routing methods such as tree-based and path-based approaches may suffer from the problem of multicast deadlocks or long routing delay. In this work we propose a hybrid multicast routing algorithm that combines the advantages of both path-based and tree-based methods. The proposed algorithm together with a router...
We address the problem of in-network information processing, storage, and retrieval in three-dimensional (3D) sensor networks in this research. We propose a geographic location free double-ruling-based scheme for large-scale 3D sensor networks. The proposed approach does not require a 3D sensor network with a regular cube shape or uniform node distribution. Without the knowledge of the geographic...
The medial axis of a shape provides a compact abstraction of its global topology and a proximity of its geometry. The construction of medial axis in two-dimensional (2D) sensor networks has been discussed in the literature, in support of several applications including routing and navigation. In this work, we first reveal the challenges of constructing medial axis in a three-dimensional (3D) sensor...
In sensor networks, skeleton (also known as medial axis) extraction is recognized as an appealing approach to support many applications such as load-balanced routing and location free segmentation. Existing solutions in the literature rely heavily on the identified boundaries, which puts limitations on the applicability of the skeleton extraction algorithm. In this paper, we conduct the first work...
In this paper, we use ns2 to simulate routing methods. Not only compare the delivery ratio but also understand the factors that affect the delivery ratio. We choose four routing methods including our new routing method just been accepted in ICCNT2012 [11], named OOPFE-Routing. We will focus on the packet-drop-problems that don't depend on buffer queue and don't consider the network security in delay...
We present a novel cross-layer approach in minimizing energy consumption for multi-hop cooperative sensor networks, under the end-to-end reliability QoS requirement. Taking into consideration the power consumed in receiving and processing circuitry, we jointly determine the optimized routing, relay selection and power allocation strategies for direct transmission, single-relay cooperation and multi-relay...
In this article, we focus on a typical application of Cyber Physical System (CPS), i.e., vehicle route navigation. Two fundamental problems have been examined: 1) How different are various vehicle routing algorithms? 2) How valuable is real-time traffic information or historical traffic information in helping vehicle routing? Different from most previous works based on simulations, we presented performance...
In order to avoid routing overhead and reduce management fee for transmisson of routing information, we purposed two heuristic algorithms which are self-pruning algorithm and dominant pruning algorithm. This algorithm is more efficient than the aimless flooding in wireless networks, and redused unnecessary transmission of information and nodes switching by the movement between neighbourhoods. Result...
The multi-trip vehicle routing problem (MTVRP) is studied whose task is to determine both the multiple trips to satisfy all the customers' demands and the assignment of the trips to vehicles with the objective of minimizing the travel cost of the trips. For this problem, an algorithm based on filter-and-fan approach is proposed. Tabu search is adopted to initialize the procedure and provide useful...
For wireless sensor networks (WSN) involved in geographical surveillance type applications, obtaining information from a specified region of interest is important. The information itself is dependent upon the application type specific sensors deployed within the network region. For the purpose of this study we propose a new routing protocol called swarm intelligent odour based routing (SWOB) that...
Routing in multi-hop cognitive radio networks (CRN) should be spectrum-aware. In this paper, two adaptive reinforcement learning based spectrum-aware routing protocols are introduced. Q-learning and dual reinforcement learning are applied respectively for them. The cognitive nodes store a table of Q values that estimate the numbers of available channels on the routes and update them while routing...
Throughput and energy efficiency are two important parameters to evaluate the performance of a wireless sensor network (WSN). For WSNs involved in varying channel conditions packet transmission reliability can be affected. This results in increased number of retransmissions and therefore energy consumption, with low throughput. Making optimal choices for robust packet transmission in this scenario...
In DHT based P2P networks, the heterogeneity of node capacity and the skewness in query pattern could result in lookup load imbalance. Indegree adjustment is an effective, light-weighted and heterogeneity-aware approach to balance lookup traffic in local area, but not globally. In this paper we present a hybrid algorithm combining in degree adjustment and virtual server (VS) approaches to address...
Wireless sensor networks (WSNs) may consist of hundreds or thousands of low-cost sensors, which makes it difficult for a central fusion center to oversee every sensor node. In this paper, we are interested in the problem of signal detection using WSNs. We propose a distributed framework for cross-layer design which is not only suitable to such application, but scalable with respect to the network...
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