Maintaining Sensing Coverage and Connectivity in Large Sensor Networks

By Honghai Zhang, Jennifer C. Hou. Ad Hoc Sens. Wirel. Networks, 2005

1,621 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/1ae86c272b27a6c6e87713187d16f77d20b09df6

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In Computer Networks and Communications

1. Jing Ai
2. Alhussein A. Abouzeid
3. Yi Liang
4. Xiaofang Li
5. Yingchi Mao
6. Mihaela Cardei
7. Jie Wu
8. Yang Xiao

Citations in the corpus

• An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, background): “most sensor network applications deal with a large number of sensors, many studies for efficient placement under various situations and environments have been conducted [3], [6], [8], [10], [15], [18], [22], [24], [35], [37], [38], [41], [46], [47], [49], [50], [54]–[57].”
• On the lifetime of wireless sensor networks (2009, background): “1) the time until the first sensor is drained of its energy [11]–[13], [15], [36], [42]–[44] 2) the time until the first cluster head is drained of its energy [18], [19] 3) the time there is at least a certain fraction β of surviving nodes in the network [16], [17], [42], [45]–[47] 4) the time until”
• Energy-efficient target coverage in wireless sensor networks (2005, methodology): “• area coverage [4], [16], [17], [ 19 ], [15], where the main objective is to cover (monitor) an area,”
• The holes problem in wireless sensor networks: a survey (2005, background): “Simu­lation results presented by the authors of [23] shows that OGDC protocol cannot always preserve the orig­inal coverage of the network completely.”
• A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks (2017, background): “Further debates on the subjects of sensing range and transmission range can be found in [20] and [93]–[96].”
• Coverage in Wireless Sensor Networks (2004, background): “Optimal Geographical Density Control (OGDC) Algorithm [27] Area Coverage Energy-Efficiency, Connectivity Maximize network lifetime by reducing the number of working nodes”
• M2M Service Platforms: Survey, Issues, and Enabling Technologies (2014, methodology): “The WSN management information collected could be used not only for monitoring the network but also for network maintenance, for example, by deploying relay nodes to maintain connectivity [67], or by deciding on a node replacement policy when deploying additional nodes to maintain network performanc”
• Coverage by directional sensors in randomly deployed wireless sensor networks (2006, methodology): “3 Other parameters specific to OGDC are chosen from Table I reported in Zhang and Hou (2005). Springer”
• ENERGY EFFICIENT COVERAGE PROBLEMS IN WIRELESS Ad Hoc SENSOR NETWORKS (2011, methodology): “Zhang and Hou [18] present the protocol OGDC (Optimal Geographical Density Control).”
• On Deploying Wireless Sensors to Achieve Both Coverage and Connectivity (2006, methodology): “Third, when heuristic algorithms are developed for topology control (i.e., determining a sleepwakeup schedule for nodes that preserves coverage and/or connectivity) as in [5, 9 ], it is possible to compute a precise bound on their performance, as compared to the optimal.”
• Energy provisioning in wireless rechargeable sensor networks (2011, methodology): “It is well known that according to the disc sensing model, deploying sensor nodes on the vertices of equilateral triangles obtains the minimum number of nodes to ensure full coverage of a plane [18][13].”
• Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges (2015, background): “Secure medical data processing on the cloud remains a challenge.”
• A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks (2006, background): “…between Design Objectives: Since it is impossible to enumerate all the possible relationships among the design objectives, we list some of the important ones here: (1) when sensors' transmission range is at least twice their sensing range, ensuring K-coverage can lead to Kconnectivity [29], [34].”