Dynamic clustering and management of mobile wireless sensor networks

Abstract

In Wireless Sensor Networks (WSNs), routing data towards the sink leads to unbalanced energy consumption among intermediate nodes resulting in high data loss rate. The use of multiple Mobile Data Collectors (MDCs) has been proposed in the literature to mitigate such problems. MDCs help to achieve uniform energy-consumption across the network, fill coverage gaps, and reduce end-to-end communication delays, amongst others. However, mechanisms to support MDCs such as location advertisement and route maintenance introduce significant overhead in terms of energy consumption and packet delays. In this paper, we propose a self-organizing and adaptive Dynamic Clustering (DCMDC) solution to maintain MDCrelay networks. This solution is based on dividing the network into well-delimited clusters called Service Zones (SZs). Localizing mobility management traffic to a SZ reduces signaling overhead, route setup delay and bandwidth utilization. Network clustering also helps to achieve scalability and load balancing. Smaller network clusters make buffer overflows and energy depletion less of a problem. These performance gains are expected to support achieving higher information completeness and availability as well as maximizing the network lifetime. Moreover, maintaining continuous connectivity between the MDC and sensor nodes increases information availability and validity. Performance experiments show that DCMDC outperforms its rival in the literature. Besides the improved quality of information, the proposed approach improves the packet delivery ratio by up to 10%, end-to-end delay by up to 15%, energy consumption by up to 53%, energy balancing by up to 51%, and prolongs the network lifetime by up to 53%.

Managing Crowds with Wireless and Mobile Technologies

“…Radio Frequency Identification (RFID) [19] technology and tools, which are already being used for tracking the movements of people, vehicles, goods etc., can help to manage some of the problems of crowding. The RFID chips, usually in the form of tags, can be linked to a Wireless Sensor Network (WSN) [34,35], cellular (3G/4G) network, or GPS [36]. Choosing one of these networks would depend on the terrain where RFID chips are deployed or the path they traverse.…”

Development of Intelligent Core Network for Tactile Internet and Future Smart Systems

“…The control plane is the network part that gives the appropriate decision to handle traffic [11][12][13]. The data plane is the other part of the network, which forward traffic in respond to the control plane.…”

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks

“…In recent years, mobility management has been studied in many types of networks, including IP and future networks [3,[22][23][24][25], 4G and 5G networks [2,4,10,26], wireless sensor networks [5,[27][28][29][30][31][32], and mobile cloud computing [6,11]. In [3], the authors investigate handover and mobility issues for IP-based multimedia services and applications.…”

“…With the penetration of mobile devices and smart applications [1], how to provide efficient mobility infrastructure and how to effectively manage mobility issues in future networks become more and more challenging [2][3][4][5][6][7][8]. For example, we need to provide flexible mobility infrastructure to support real-time multimedia applications and on-demand services in vehicular networks.…”