Socio-economic aware data forwarding in mobile sensing networks and systems

The vision for smart sustainable cities is one whereby urban sensing is core to optimising city operation which in turn improves citizen contentment. Wireless Sensor Networks are envisioned to become pervasive form of data collection and analysis for smart cities but deployment of millions of inter-connected sensors in a city can be cost-prohibitive. Given the ubiquity and ever-increasing capabilities of sensor-rich mobile devices, Wireless Sensor Networks with Mobile Phones (WSN-MP) provide a highly flexible and ready-made wireless infrastructure for future smart cities. In a WSN-MP, mobile phones not only generate the sensing data but also relay the data using cellular communication or short range opportunistic communication. The largest challenge here is the efficient transmission of potentially huge volumes of sensor data over sometimes meagre or faulty communications networks in a cost-effective way. This thesis investigates distributed data forwarding schemes in three types of WSN-MP: WSN with mobile sinks (WSN-MS), WSN with mobile relays (WSN-HR) and Mobile Phone Sensing Systems (MPSS). For these dynamic WSN-MP, realistic models are established and distributed algorithms are developed for efficient network performance including data routing and forwarding, sensing rate control and and pricing. This thesis also considered realistic urban sensing issues such as economic incentivisation and demonstrates how social network and mobility awareness improves data transmission. Through simulations and real testbed experiments, it is shown that proposed algorithms perform better than state-of-the-art schemes.Open Acces

Wirelessly Powered Sensing Fertilizer for Precision and Sustainable Agriculture

Sensor networks comprising small wireless sensor devices facilitate the collection of environmental information and increase the efficiency of outdoor practices, including agriculture. However, the sensor-device installation density of a network is limited because conventional sensor devices must be removed after use. In this study, a sustainable dense sensing system that combines simplified degradable sensor devices, wireless power supply, and thermal-camera image-based information recognition is proposed. The proposed wireless-power-driven sensor device comprises a biodegradable nanopaper substrate, natural wax, and an eco-friendly tin conductive line. The sensor device emits a thermal signal based on the soil moisture content. The thermal camera simultaneously acquires the soil moisture-content data and sensor-device location. The majority of the sensor-device components are biodegradable, and the residual components have a minimal adverse impact on the environment. Additionally, the fertilizer component in the substrate promotes plant growth. The proposed sensing concept introduces a novel direction for realizing hyperdense sensor networks and contributes to the development of social systems that combine sustainability with meticulous environmental management.Kasuga T., Mizui A., Koga H., et al. Wirelessly Powered Sensing Fertilizer for Precision and Sustainable Agriculture. Advanced Sustainable Systems , (2023); https://doi.org/10.1002/adsu.202300314

LPTA: Location predictive and time adaptive data gathering scheme with mobile sink for wireless sensor networks

This paper exploits sink mobility to prolong the lifetime of sensor networks while maintaining the data transmission delay relatively low. A location predictive and time adaptive data gathering scheme is proposed. In this paper, we introduce a sink location prediction principle based on loose time synchronization and deduce the time-location formulas of the mobile sink. According to local clocks and the time-location formulas of the mobile sink, nodes in the network are able to calculate the current location of the mobile sink accurately and route data packets timely toward the mobile sink by multihop relay. Considering that data packets generating from different areas may be different greatly, an adaptive dwelling time adjustment method is also proposed to balance energy consumption among nodes in the network. Simulation results show that our data gathering scheme enables data routing with less data transmission time delay and balance energy consumption among nodes.The work is supported by the Science and Technology Pillar Program of Changzhou (Social Development), no. CE20135052. Joel J. P. C. Rodrigues's work has been supported by the Fundamental Research Funds for the Central Universities (Program no. HEUCF140803), by Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Covilha Delegation, by Government of Russian Federation, Grant 074-U01, and by National Funding from the FCT-Fundacao para a Ciencia e a Tecnologia through the Pest-OE/EEI/LA0008/2013 Project.Zhu, C.; Wang, Y.; Han, G.; Rodrigues, JJPC.; Lloret, J. (2014). LPTA: Location predictive and time adaptive data gathering scheme with mobile sink for wireless sensor networks. Scientific World Journal. https://doi.org/10.1155/2014/476253SHan, G., Xu, H., Jiang, J., Shu, L., Hara, T., & Nishio, S. (2011). Path planning using a mobile anchor node based on trilateration in wireless sensor networks. Wireless Communications and Mobile Computing, 13(14), 1324-1336. doi:10.1002/wcm.1192Zhu, C., Zheng, C., Shu, L., & Han, G. (2012). A survey on coverage and connectivity issues in wireless sensor networks. Journal of Network and Computer Applications, 35(2), 619-632. doi:10.1016/j.jnca.2011.11.016Han, G., Xu, H., Duong, T. Q., Jiang, J., & Hara, T. (2011). Localization algorithms of Wireless Sensor Networks: a survey. Telecommunication Systems, 52(4), 2419-2436. doi:10.1007/s11235-011-9564-7Guoliang Xing, Tian Wang, Zhihui Xie, & Weijia Jia. (2008). Rendezvous Planning in Wireless Sensor Networks with Mobile Elements. IEEE Transactions on Mobile Computing, 7(12), 1430-1443. doi:10.1109/tmc.2008.58Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., & Wang, Z. M. (2007). Controlled sink mobility for prolonging wireless sensor networks lifetime. Wireless Networks, 14(6), 831-858. doi:10.1007/s11276-007-0017-xWang, G., Wang, T., Jia, W., Guo, M., & Li, J. (2008). Adaptive location updates for mobile sinks in wireless sensor networks. The Journal of Supercomputing, 47(2), 127-145. doi:10.1007/s11227-008-0181-5Shin, K., & Kim, S. (2012). Predictive routing for mobile sinks in wireless sensor networks: a milestone-based approach. The Journal of Supercomputing, 62(3), 1519-1536. doi:10.1007/s11227-012-0815-5Lee, K., Kim, Y.-H., Kim, H.-J., & Han, S. (2013). A myopic mobile sink migration strategy for maximizing lifetime of wireless sensor networks. Wireless Networks, 20(2), 303-318. doi:10.1007/s11276-013-0606-9Sheu, J.-P., Sahoo, P. K., Su, C.-H., & Hu, W.-K. (2010). Efficient path planning and data gathering protocols for the wireless sensor network. Computer Communications, 33(3), 398-408. doi:10.1016/j.comcom.2009.10.011Yang, Y., Fonoage, M. I., & Cardei, M. (2010). Improving network lifetime with mobile wireless sensor networks. Computer Communications, 33(4), 409-419. doi:10.1016/j.comcom.2009.11.010Liang, W., Luo, J., & Xu, X. (2011). Network lifetime maximization for time-sensitive data gathering in wireless sensor networks with a mobile sink. Wireless Communications and Mobile Computing, 13(14), 1263-1280. doi:10.1002/wcm.1179Kinalis, A., Nikoletseas, S., Patroumpa, D., & Rolim, J. (2014). Biased sink mobility with adaptive stop times for low latency data collection in sensor networks. Information Fusion, 15, 56-63. doi:10.1016/j.inffus.2012.04.003Liu, C. H., Ssu, K. F., & Wang, W. T. (2011). A moving algorithm for non-uniform deployment in mobile sensor networks. International Journal of Autonomous and Adaptive Communications Systems, 4(3), 271. doi:10.1504/ijaacs.2011.040987Shi, L., Zhang, B., Mouftah, H. T., & Ma, J. (2012). DDRP: An efficient data-driven routing protocol for wireless sensor networks with mobile sinks. International Journal of Communication Systems, n/a-n/a. doi:10.1002/dac.2315Liu, X., Zhao, H., Yang, X., & Li, X. (2013). SinkTrail: A Proactive Data Reporting Protocol for Wireless Sensor Networks. IEEE Transactions on Computers, 62(1), 151-162. doi:10.1109/tc.2011.207Aioffi, W. M., Valle, C. A., Mateus, G. R., & da Cunha, A. S. (2011). Balancing message delivery latency and network lifetime through an integrated model for clustering and routing in Wireless Sensor Networks. Computer Networks, 55(13), 2803-2820. doi:10.1016/j.comnet.2011.05.023Liu, D., Zhang, K., & Ding, J. (2013). Energy-efficient transmission scheme for mobile data gathering in Wireless Sensor Networks. China Communications, 10(3), 114-123. doi:10.1109/cc.2013.648883

Study of Wireless Sensor Network Applications in Network Optimization

Because of the rapid development of wireless sensor network, it widely applied in all areas of life, in-depth study of the technology will also explore the potential application of more in-depth. The main research of WSN technology in some environment in the real world information acquisition and processing technology, it realizes the intercommunication of the real world and the Internet world, opened the human WSN network era. WSN network through the digital world com. Human concepts inherent information world and explore the objective facts, from the inquiry from change the people and things in nature, the data are the basic objects interactively; the sensor node has sensing effect in direct contact with the objective environment, continuously enhance the practical function of virtual networks, but also increase the capacity of human understanding of the objective world; through the real-time sensing and found the state change monitoring target, at the same time the collection of data processing, the processing of useful information through the wireless transmission mode is transmitted to a data collection center or client. It will make the development and wide application in various fields of social life are more intelligent and modernization. Although its development still in an immature stage, Tan of many problems still has not obtained the very good solution, research work on WSN is far from over. In this paper the concept and system structure of wireless sensor network analysis began to design, application system based on wireless sensor network monitoring farmland use temperature and humidity ZigBee as an example to study the development process of application system for wireless sensor networks

Routing, Localization And Positioning Protocols For Wireless Sensor And Actor Networks

Wireless sensor and actor networks (WSANs) are distributed systems of sensor nodes and actors that are interconnected over the wireless medium. Sensor nodes collect information about the physical world and transmit the data to actors by using one-hop or multi-hop communications. Actors collect information from the sensor nodes, process the information, take decisions and react to the events. This dissertation presents contributions to the methods of routing, localization and positioning in WSANs for practical applications. We first propose a routing protocol with service differentiation for WSANs with stationary nodes. In this setting, we also adapt a sports ranking algorithm to dynamically prioritize the events in the environment depending on the collected data. We extend this routing protocol for an application, in which sensor nodes float in a river to gather observations and actors are deployed at accessible points on the coastline. We develop a method with locally acting adaptive overlay network formation to organize the network with actor areas and to collect data by using locality-preserving communication. We also present a multi-hop localization approach for enriching the information collected from the river with the estimated locations of mobile sensor nodes without using positioning adapters. As an extension to this application, we model the movements of sensor nodes by a subsurface meandering current mobility model with random surface motion. Then we adapt the introduced routing and network organization methods to model a complete primate monitoring system. A novel spatial cut-off preferential attachment model and iii center of mass concept are developed according to the characteristics of the primate groups. We also present a role determination algorithm for primates, which uses the collection of spatial-temporal relationships. We apply a similar approach to human social networks to tackle the problem of automatic generation and organization of social networks by analyzing and assessing interaction data. The introduced routing and localization protocols in this dissertation are also extended with a novel three dimensional actor positioning strategy inspired by the molecular geometry. Extensive simulations are conducted in OPNET simulation tool for the performance evaluation of the proposed protocol

Data driven wireless network design : a multi-level modeling approach

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Developing an Efficient DMCIS with Next-Generation Wireless Networks

The impact of extreme events across the globe is extraordinary which continues to handicap the advancement of the struggling developing societies and threatens most of the industrialized countries in the globe. Various fields of Information and Communication Technology have widely been used for efficient disaster management; but only to a limited extent though, there is a tremendous potential for increasing efficiency and effectiveness in coping with disasters with the utilization of emerging wireless network technologies. Early warning, response to the particular situation and proper recovery are among the main focuses of an efficient disaster management system today. Considering these aspects, in this paper we propose a framework for developing an efficient Disaster Management Communications and Information System (DMCIS) which is basically benefited by the exploitation of the emerging wireless network technologies combined with other networking and data processing technologies.Comment: 6 page

A Secure Lightweight Approach of Node Membership Verification in Dense HDSN

In this paper, we consider a particular type of deployment scenario of a distributed sensor network (DSN), where sensors of different types and categories are densely deployed in the same target area. In this network, the sensors are associated with different groups, based on their functional types and after deployment they collaborate with one another in the same group for doing any assigned task for that particular group. We term this sort of DSN as a heterogeneous distributed sensor network (HDSN). Considering this scenario, we propose a secure membership verification mechanism using one-way accumulator (OWA) which ensures that, before collaborating for a particular task, any pair of nodes in the same deployment group can verify each other-s legitimacy of membership. Our scheme also supports addition and deletion of members (nodes) in a particular group in the HDSN. Our analysis shows that, the proposed scheme could work well in conjunction with other security mechanisms for sensor networks and is very effective to resist any adversary-s attempt to be included in a legitimate group in the network.Comment: 6 page

Quality of Information in Mobile Crowdsensing: Survey and Research Challenges

Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as accelerometer, gyroscope, microphone, and camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. We also outline novel research challenges, along with possible directions of future work.Comment: To appear in ACM Transactions on Sensor Networks (TOSN