Cooperative Data Processing Algorithm Based on Mobile Agent in Wireless Sensor Networks

Zhang, Shukui; Sun, Yu; Fan, Jianxi; Huang, He

doi:10.1155/2012/182561

Cited by 7 publications

(3 citation statements)

References 20 publications

(20 reference statements)

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“…Wireless sensor networks (WSNs) have emerged as an attractive technology for their wide range of applications in civil and military areas. In contrast to traditional wireless networks, wireless sensor nodes are usually powered by batteries and deployed in unmanned outdoors or dangerous regions [1, 2]. So, energy-constraint is a prominent feature for wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks

Jiang

Sun

et al. 2013

International Journal of Distributed Sensor Networks

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Wireless sensor nodes are usually powered by batteries and deployed in unmanned outdoors or dangerous regions. So, constrained energy is a prominent feature for wireless sensor networks. Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node, it is of great importance to design energy optimized routing algorithm to prolong network lifetime. In this work, based on analysis of energy consumption for data transceiver, single-hop forwarding scheme is proved to consume less energy than multihop forwarding scheme within the communication range of the source sensor or a current forwarder, using free space energy consumption model. We adopt the social welfare function to predict inequality of residual energy of neighbors after selecting different next hop nodes. Based on energy inequality, the method is designed to compute the degree of energy balance. Parameters such as degree of closeness of node to the shortest path, degree of closeness of node to Sink, and degree of energy balance are put into fuzzy logic system. Fuzzy-logic-based energy optimized routing algorithm is proposed to achieve multiparameter, fuzzy routing decision. Simulation results show that the algorithm effectively extends the network lifetime and has achieved energy efficiency and energy balance together, compared with similar algorithms.

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Section: Introductionmentioning

confidence: 99%

Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks

Jiang

Sun

et al. 2013

International Journal of Distributed Sensor Networks

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“…Hybrid WSNs consisting of static and mobile sensors are more robust and fault tolerant to the changing environment conditions than conventional WSNs which only contain static resource constrained sensors [2,3]. By incorporating mobile sensors to WSNs, the network capability can be further improved in many aspects, such as automatic sensor deployment [2][3][4][5][6][7][8][9][10][11][12], dynamic event coverage [13,14], mobiles target tracking [15][16][17], flexible topology adjustment [18,19], and efficient data collection and processing [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Optimal Mobile Sensor Scheduling for a Guaranteed Coverage Ratio in Hybrid Wireless Sensor Networks

You

2013

International Journal of Distributed Sensor Networks

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This paper proposes an optimal mobile sensor-scheduling algorithm for recovering the failure sensors in hybrid wireless sensor networks (WSNs). To maintain a guaranteed coverage over the area of interest, spare mobile sensors in WSNs will be activated to replace the failure sensors. The optimal scheduling problem is formulated into two optimization problems, one of which precisely determines the minimum value of the largest distance required to travel for mobile sensors, while the other one gives the optimal dispatch for mobile sensors to minimize the total travel distance. Furthermore, a distributed suboptimal scheduling, which only requires the local matching information of mobile sensors, is developed as well. Both regular and random network topologies are provided to illustrate the proposed algorithms in the simulation.

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“…Vehicular sensor networks (VSNs) are expected to be at the centre of one of the major new application areas for intelligent transport systems [1, 2] in the Internet of Things (IoT) world. Unlike most of the nodes in other wireless sensor networks [3, 4], in VSNs vehicles can be equipped easily with large-capacity-storage and powerful-computing devices. This offers the opportunity to deploy a broad range of innovative solutions, including peer-to-peer content sharing [5, 6], quality-oriented multimedia content delivery [7, 8], user-personalised multimedia content delivery [9], energy-aware traffic management solutions [10], and traffic information dissemination applications [11].…”

Section: Introductionmentioning

confidence: 99%

Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks

Xia

Guan

et al. 2013

International Journal of Distributed Sensor Networks

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Recently, vehicular sensor networks (VSNs) have emerged as a new intelligent transport networking paradigm in the Internet of Things. By sensing, collecting, and delivering traffic-related information, VSNs can significantly improve both driving experience and traffic flow control, especially in constrained urban environments. Latest technological advances enable vehicular devices to be equipped with multiple wireless interfaces, which can support cooperative communications for concurrent multipath transfer (CMT) in VSNs. However, path heterogeneity and vehicle mobilitycause CMT not to achieve the same high transport efficiency recorded in wired nonmobile network environments. This paper proposes a novel vehicular network-based CMT solution (VN-CMT) to address the above issues and improve data delivery efficiency. VN-CMT is based on a CMT disorder analytic model which can effectively and accurately evaluate the degree of out-of-order data. Based on this proposed model, a series of mechanisms are introduced as follows: (1) a packet disorder-reducing retransmission policy to reduce retransmission delay; (2) a path group selection algorithm to find the best path set for data multipath concurrent transfer; and (3) a data scheduling mechanism to distribute data according to each path's capacity. Simulation results show how VN-CMT improves data delivery efficiency in comparison with an existing state-of-the-art solution.

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Cooperative Data Processing Algorithm Based on Mobile Agent in Wireless Sensor Networks

Cited by 7 publications

References 20 publications

Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks

Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks

Optimal Mobile Sensor Scheduling for a Guaranteed Coverage Ratio in Hybrid Wireless Sensor Networks

Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks

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