Sensor Deployment Strategy for Collaborative Target Detection with Guaranteed Accuracy

Peng

International Journal of Distributed Sensor Networks

et al. 2016

Wireless sensor networks (WSNs) have been deployed for many applications of target detection, such as intrusion detection and wildlife protection. In these applications, the first step is to detect whether the target is present or not. However, most of the existing work uses the "simple disk model" as signal model, which may not capture the sensing environment. In this work, we utilize a more realistic signal model to describe sensing process of sensors. On the other hand, the "majority rule" is widely used to make the final decision, which may not obtain the true judgment. To this end, we utilize a more realistic signal model and also use a probabilistic decision model to make the final decision. Moreover, we propose a probabilistic detection algorithm in which all sensors' local measurement values are fully used. This algorithm does not need any artificial threshold compared with traditional algorithms. It makes the most of spatiotemporal information to obtain the final decision. For the spatial perspective, sensors are distributed in different locations cooperating with each other. Meanwhile, for the temporal perspective, multiround subdecisions are fused. The effectiveness of the proposed method is validated by extensive simulation results, which show high detection probabilities and low false alarm probabilities.

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

Extracting Target Detection Knowledge Based on Spatiotemporal Information in Wireless Sensor Networks

Peng

International Journal of Distributed Sensor Networks

et al. 2016

“…Moreover, sensors lifetime will eventually get reduced as all the time more than one sensor is sensing one target. [19,20] [21] are based on grid-based Stable Routing Protocol with multi-hop broadcast technique. In [22] several power-efficient routing algorithms are proposed for a sensor network with 2D grid topology.…”

Section: Proposed Modelmentioning

confidence: 99%

LDM (Layered Deployment Model): A Novel Framework to Deploy Sensors in an Irregular Terrain

Bhattacharyya¹,

Bhattacharya²

2011

WSN

Deployment of sensors in any irregular terrain with 100% coverage and connectivity is a challenging issue in the field of Wireless Sensor Networks. Traditional deployments often assume homogeneous environments, which ignore the effect of terrain profile as well as the in-network obstacles situated randomly like buildings, trees, roads and so on. Proper deployment of sensors in such irregular region and its corresponding routing is one of the most fundamental challenges of Wireless Sensor Networks. In this work, we have considered that the terrain is irregular in shape and there may be obstacles within the terrain in any random position with any random shape, which is the reality in real world. With this novel framework, we have shown that an opti-mum deployment can be achieved in such irregular terrain without compromising coverage as well as con-nectivity between the sensor nodes for effective routing

2010 Annual IEEE India Conference (INDICON)

“…They derived the minimum number of sensors required by a robust gridbased sensor deployment assuming that the errors are bounded. [11] [12] [13] are based on grid-based Stable Routing Protocol with multi-hop broadcast technique. In [14] several power-efficient routing algorithms are proposed for a sensor network with 2D grid topology.…”

Section: Preliminariesmentioning

confidence: 99%

A cost-effective Layered Deployment Model (LDM) in an irregular sensing terrain with random obstacles

Bhattacharyya

Bhattacharya

2010

In this paper we have addressed the problem of deploying wireless sensors into any random irregular sensing terrain. Traditional deployments often assume homogeneous environments, which ignore the effect of terrain profile as well as the in-network obstacles situated randomly like buildings, trees, roads and so on. Only an effective and efficient deployment of nodes will leads to proper routing as well as proper tracking of any randomly moving objects with in the terrain. Here we have proposed a model, Layered Deployment Model (LDM) for deployment of nodes in irregular terrain with random obstacles with homogeneous distribution of coverage density. With this model, instant routing can be achieved with all possible shortest paths.