Coordinated Static and Mobile Sensing for Environmental Monitoring

Distributed embedded sensor networks are now being successfully deployed in environmental monitoring of natural phenomena as well as for applications in commerce and physical security. While substantial progress in sensor network performance has appeared, new challenges have also emerged as these systems have been deployed in the natural environment. First, in order to achieve minimum sensing fidelity performance, the rapid spatiotemporal variation of environmental phenomena requires impractical deployment densities. The presence of obstacles in the environment introduces sensing uncertainty and degrades the performance of sensor fusion systems in particular for the many new applications of image sensing. The physical obstacles encountered by sensing may be circumvented by a new mobile sensing method or Networked Infomechanical Systems (NIMS). NIMS integrates distributed, embedded sensing and computing systems with infrastructure-supported mobility. NIMS now includes coordinated mobility methods that exploits adaptive articulation of sensor perspective and location as well as management of sensor population to provide the greatest certainty in sensor fusion results. The architecture, applications, and implementation of NIMS will be discussed here. In addition, results of environmentally-adaptive sampling, and direct measurement of sensing uncertainty will be described

Multiple controlled mobile elements (data mules) for data collection in sensor networks

Abstract. Recent research has shown that using a mobile element to collect and carry data mechanically from a sensor network has many advantages over static multihop routing. We have an implementation as well employing a single mobile element. But the network scalability and traffic may make a single mobile element insufficient. In this paper we investigate the use of multiple mobile elements. In particular, we present load balancing algorithm which tries to balance the number of sensor nodes each mobile element services. We show by simulation the benefits of load balancing.

Autonomous Intelligent Mobile Micro Server

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Autonomous Intelligent Mobile Micro Server

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Controlled Mobility for Increased Lifetime in Wireless Sensor Networks

Wireless Sensor network is a network of sensor nodes. A sensor node has, in addition to computation, sensing and wireless communication capability. A network of these nodes is deployed to measure the ecological properties like temperature etc. There is a base station which collects the data from these nodes. The data reaches the base station wirelessly by the multihop communication path established by the sensor nodes. The sensor nodes are resource constrained, and communication is the major consumer of battery resource. The nodes near the base station relay other further nodes data, and as a result die earlier. Once they are gone, the network is effectively disconnected. We explore the option of a chargeable mobile base station traversing the network, and the nodes transfer the data when it is near. This improves the lifetime of the network. The work involves designing network algorithms for the system, and adaptive speed control strategies for the mobile

Controlled Mobility for Increased Lifetime in Wireless Sensor Networks

Wireless Sensor network is a network of sensor nodes. A sensor node has, in addition to computation, sensing and wireless communication capability. A network of these nodes is deployed to measure the ecological properties like temperature etc. There is a base station which collects the data from these nodes. The data reaches the base station wirelessly by the multihop communication path established by the sensor nodes. The sensor nodes are resource constrained, and communication is the major consumer of battery resource. The nodes near the base station relay other further nodes data, and as a result die earlier. Once they are gone, the network is effectively disconnected. We explore the option of a chargeable mobile base station traversing the network, and the nodes transfer the data when it is near. This improves the lifetime of the network. The work involves designing network algorithms for the system, and adaptive speed control strategies for the mobile