Qin Yu

Data and Energy Integrated Communication Networks for Wireless Big Data

This paper describes a new type of communication network called data and energy integrated communication networks (DEINs), which integrates the traditionally separate two processes, i.e., wireless information transfer (WIT) and wireless energy transfer (WET), fulfilling co-transmission of data and energy. In particular, the energy transmission using radio frequency is for the purpose of energy harvesting (EH) rather than information decoding. One driving force of the advent of DEINs is wireless big data, which comes from wireless sensors that produce a large amount of small piece of data. These sensors are typically powered by battery that drains sooner or later and will have to be taken out and then replaced or recharged. EH has emerged as a technology to wirelessly charge batteries in a contactless way. Recent research work has attempted to combine WET with WIT, typically under the label of simultaneous wireless information and power transfer. Such work in the literature largely focuses on the communication side of the whole wireless networks with particular emphasis on power allocation. The DEIN communication network proposed in this paper regards the convergence of WIT and WET as a full system that considers not only the physical layer but also the higher layers, such as media access control and information routing. After describing the DEIN concept and its high-level architecture/protocol stack, this paper presents two use cases focusing on the lower layer and the higher layer of a DEIN network, respectively. The lower layer use case is about a fair resource allocation algorithm, whereas the high-layer section introduces an efficient data forwarding scheme in combination with EH. The two case studies aim to give a better explanation of the DEIN concept. Some future research directions and challenges are also pointed out.

A Fair Resource Allocation Algorithm for Data and Energy Integrated Communication Networks

With the rapid advancement of wireless network technologies and the rapid increase in the number of mobile devices, mobile users (MUs) have an increasing high demand to access the Internet with guaranteed quality-of-service (QoS). Data and energy integrated communication networks (DEINs) are emerging as a new type of wireless networks that have the potential to simultaneously transfer wireless energy and information via the same base station (BS). This means that a physical BS is virtualized into two parts: one is transferring energy and the other is transferring information. The former is called virtual energy base station (eBS) and the latter is named as data base station (dBS). One important issue in such setting is dynamic resource allocation. Here the resource concerned includes both power and time. In this paper, we propose a fair data-and-energy resource allocation algorithm for DEINs by jointly designing the downlink energy beamforming and a power-and-time allocation scheme, with the consideration of finite capacity batteries at MUs and power sensitivity of radio frequency (RF) to direct current (DC) conversion circuits. Simulation results demonstrate that our proposed algorithm outperforms the existing algorithms in terms of fairness, beamforming design, sensitivity, and average throughput.

AODV-ECA: Energy-efficient AODV routing protocol using cellular automata in wireless sensor networks

Wireless sensor networks(WSNs) has been a hot area of research recently. Wireless sensor networks are usually placed in complex and dangerous environment without anybody guarding, so the exchange of battery is inconvenient. Therefore, energy-saving is always the key problem in the research of WSNs in order to prolong the lifetime of networks. This paper puts forward an AODV routing protocol, AODV-ECA, based on cellular automata (CA) mechanism. AODV-ECA can reduce and balance energy consumption to prolong the network lifetime by means of switching nodes states between sleeping and working. Finally, AODV-ECA is simulated and evaluated to other energy-efficient routing protocols by NS2 simulator.

Researches on coverage holes recovery algorithm in WSN

Wireless sensor networks (WSNs) have been expanding its field of application, the researches on WSNs is always one of the most popular research topics for their efficiency and low cost. But the capability and reliability of WSNs are strongly subject to its effective coverage. Coverage holes in WSNs now are the important problem and gain a lot of attention by lots of researchers. In this paper, we propose two algorithms based on the traditional VOR algorithm. The simulation results have demonstrated that our proposed algorithms can make holes recovery more effectively than the traditional coverage holes algorithm.

Rotation and chain-based energy saving routing protocol of wireless sensor network

Based on analyzing different kinds of routing protocols characteristics, this paper presents a new routing protocol, RPB, which combines the advantage of PEGASIS and GAF. According to the simulation results, compared with LEACH, PEGASIS and EEPB protocols, RPB works more outstanding in energy saving. This protocol also distributed averagely when the nodes died more than a half.

An community detection algorithm based on the multi-attribute similarity

To investigate the potential property contained in the user profile, providing an ideal platform for information exchange and sharing within social network users, and to propose a client-targeted community detection algorithm based on analysis of user profile. Community detection is finally accomplished by combining users who are of similar interest, study purpose and behavior in consideration of the similarity of users multiple properties. A classic test concerning social network data partition suggests that this algorithm is feasible and effective.

A Structure of Large Scale WSN Based Safety Monitoring System for Natural Gas Industry

With the rapidly development of natural gas production, storage and transportation, the requirement for safety monitoring on natural gas industry are continuously increasing. This paper analyzes the application of WSN (wireless sensor network) in natural gas industry safety monitoring, and proposes a layered structure for large scale WSN based safety monitoring system, which can be used in collecting various kinds of safety information in natural gas industry, and sending them to surveillance center for data analyzing and early warning of abnormal situation. In the structure, we discuss the deployment of sensor nodes, sink nodes and e-sink nodes, and proposed the layered data fusion model and query model.

Socially-aware E-Box deployment schemes for joint data forwarding and energy harvesting

With the conversion capability from radio frequency into electricity, Radio Frequency based Energy Harvesting (RF-EH) has appeared as a promising means to overcome the battery exhaustion problem of mobile devices. However, despite the great efforts in RF-EH communication techniques made recently, a big drawback that limits the application of RF-EH is the large propagation loss of radio signal energy. This paper attempts to address this problem through deploying multiple energy sources in the network based on cognitive techniques that can perceive and analyze user behaviors. Under a Mobile Social Network (MSN) scenario, we conduct energy source deployment in combination with the throwbox deployment problem, which aims at improving data forwarding efficiency. Our focus is on both data forwarding (DF) and energy harvesting (EH) efficiency. We propose three deployment schemes, i.e., D-deployment, E-deployment and T-deployment. With a continuous-time Markov chain based mobility model, we formulate these deployment schemes as three optimization problems, respectively. Simulation results indicate that the proposed schemes outperform an existing deployment scheme in terms of both DF efficiency and EH efficiency.

Cellular automata self-organization algorithm for Wireless Sensor Network

A WSN tends to be autonomic, an adaptive and distributive algorithm in Wireless Sensor Network is presented based on cellular automata mechanism, which was sourced from the thoughts of automatic breeding in biology. Each node of the Wireless Sensor Network is assumed to be equipped with CA machine, and change its state (active/stand-by) depends on the state of its neighbors. The main objective of this work is improving the transition function in the algorithm to guarantee the connectivity degree between nodes and network coverage with energy conservation. Simulation results demonstrate that the network has better properties under the condition of intensive node distribution, with the improved algorithm.

Cellular automata-based multi-hop WSN routing protocol energy saving technology

Wireless sensor network is a new type of wireless network. It has been widely application in the network communication, the wireless transmission, embedded computing, environmental monitoring and other fields. As the wireless sensor nodes are often set in complex geographical environment and had not continuous power supply, thus saving energy has been one of the main directions of research. Cellular automata are a mimic biological cell reproduction form of dynamical system, with a simple rule to reveal the complex global characteristics. This paper presents a kind of cellular automata and routing protocol which used in wireless sensor network binding mechanism, so that the wireless node can self-organize into cellular area. Sink node according to the communication process of carrying the cellular information, switching sensor node working status, to achieve the purpose of energy saving. Simulations show that the mechanism can reduce the network energy consumption, improve energy utilization rate, and prolong the survival time of the node.