Analytical SIR for Self-Organizing Wireless Networks

Analytical SIR for Self-Organizing Wireless Networks

The signal to interference ratio (SIR) in the presence of multipath fading, shadowing and path loss is a valuable parameter for studying the capacity of a wireless system. This paper presents a new generalized path loss equation that takes into account the large-scale path loss as well as the small-scale multipath fading. The probability density function (pdf) of the SIR for selforganising wire...

Algorithms for Self-Organizing Wireless Sensor Networks

Efficient clustering algorithms for self-organizing wireless sensor networks

Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy resources available in these networks. In this paper, we make contributions towards improving the efficiency of self-organization in wireless sensor networks. We first present a novel approach for message-efficient cluster...

Self - Organizing and Coverage Recovery Techniques for Wireless Sensor Networks

The major issue of a Wireless Sensor Network (WSN), is to provide sufficient and uninterrupted coverage, to provide this heterogeneous sensors are used. Sensors have wide range of sensing capability is called heterogeneous sensors. In order to enable Sensor-Self Deployment these sensor nodes were made movable. The protocol used to increase the efficiency of the system and to reduce the power co...

Multi-sector multi-range control for self-organizing wireless networks

In this paper,we propose a distributedmulti-sectormulti-range (MSMR) control algorithm for supporting self-organizing wireless networks. The algorithm enables us to reduce the unnecessary coverage with fine-tuned range control and also to increase the network-wide capacity with enhanced spatial reusability. The proposed algorithm discovers neighboring nodes within the maximum transmission range...