In this paper we investigate the expected lifetime and information capacity, defined as the maximum amount of data (bits) transferred before the first sensor node death due to energy depletion, of a data-gathering wireless sensor network. We develop a fluidflow based computational framework that extends the existing approach, which requires precise knowledge of the layout/deployment of the netw...

This paper reports on a large, long-term mobile wireless sensor network deployment. The trial was part of an animal study involving 45 animals. During the trial, 15 animals were equipped with wireless sensor nodes for a week. The paper discusses various issues with such a deployment including electronic design, software design, animal ethics clearance, logistics, and wearable computing equipmen...

Wireless sensor network can act as a distributed sampling system in precision farming applications which aim at estimating the spatiotemporal variability. Sensor nodes should be deployed referring to the communication range rc and the sampling range rs instead of the sensing range. In this paper, a kind of systematic random deployment based on three popular regular patterns-equilateral triangle...

This paper presents a three-step methodology for stochastic deployment of wireless sensor networks. While the first step uses simulation to elaborate strategies for a given deployment scenario, the second step consists of applying vertical variance trimming techniques to reduce the number of non-redundant alternative strategies. The final step consists of formulating and solving the problem as ...

One practical goal of sensor deployment in the design of distributed sensor systems is to achieve an optimal monitoring and surveillance of a target region. The optimality of a sensor deployment scheme is a tradeoff between implementation cost and coverage quality levels. In this paper, we consider a probabilistic sensing model that provides different sensing capabilities in terms of coverage r...

This paper presents a deployment strategy via self organizing flocking coalitions for mobile sensor network coverage. The concepts of our approach are inspired by the flocking phenomenon which locally controls a group of mobile agents performed as follows: (i) global alignment of their velocity vectors, (ii) convergence of their velocities to a common one, and (iii) collision avoidance. Adding ...

by Christopher Jerry Mallery, Ph.D. Washington State University May 2009 Chair: Muralidhar Medidi Although the specifics of sensor network deployment scenarios are entirely application domain specific, it is envisioned that wireless sensor networks are densely deployed over large monitoring areas. The post-deployment discovery of location and topological information in arbitrarily deployed wire...

This paper presents an approach for deploying a team of mobile sensor nodes to form a sensor network in indoor environments. The challenge in this work is that the mobile sensor nodes have no ability for localization or obstacle avoidance. Thus, our approach entails the use of more capable “helper” robots that “herd” the mobile sensor nodes into their deployment positions. To extensively explor...

A network early warning system consists of several distributed sensors to detect malicious network activity. The effectiveness of such early warning systems critically depends on the sensor deployment strategy used. We therefore analysed attack patterns of malicious software collected at sensors worldwide to determine an optimal deployment strategy. Our results show that due to the small number...

Adversary attack on wireless sensor network is a very major issue on wireless sensor networks deployment. Adversaries send the replica node as same as like original node to capture all necessary information and the key values. Deployment of a wireless sensor network (WSN) system is a significant step since hypothetical models and hypothesis habitually vary from genuine environmental uniqueness ...