2.1. State Transition ModelIn our model, we assume that a real robotic sensor consists of four basic hardware components: (1) proximity sensor (such as infra-red sensor, sonar sensor, camera, etc.), to detect the distances between itself and neighbors; (2) digital compass, to detect the azimuths of neighbors within its local coordinate system; (3) central processor, to compute goal position using the designed interactive control algorithm based on the local information gained by (1) and (2); (4) actuator, to drive the robot and its sensor unit to move with the velocity calculated by motion control equation based on the goal position. The first two components together complete the collection of the local information.

To emphasize the development of a cooperative mechanism, the model abstract of a robotic sensor is assumed in following statement, where hardware composition and action characteristics of robotic sensors are taken into account:Assumption 1: A robotic sensor only has the ability of gaining local information and possesses three executable states: detecting, computing and moving. Transition happens between these three states subsequently and periodically w
Globally, an aging population provides a good indicator of how health services have progressed in both developed and developing countries. However, to better provide these benefits, a series of challenges must first be met. One extremely important challenge is to train much needed healthcare professionals who specialize in providing care to seniors who often suffer from a variety of chronic diseases associated with aging, and design environments that incorporate wireless technologies and communications systems adapted to the needs of the geriatric community [1].

Projections show that between 2000 and 2050 the number of people above the age of 60 will increase from 11% to 22% worldwide, meaning that persons in this age group will number approximately 2 billion [2].Aging presents a series of challenges for the entire world population, primarily because seniors slowly lose their ability to be self-sufficient Dacomitinib due to chronic diseases, physical and/or mental disabilities, or the general frailty that characterizes the aging process [2]. Any of these conditions represent factors that limit the elderly or endanger their lives, even within the confines of their homes.

Consequently, 24-hour-a-day monitoring of the elderly can improve attention provided for chronic or acute health concerns, accidents such as falls, as well as a series of other conditions that can detrimentally affect the elderly. For example, falls represent the second most common cause of death by accident among the aged, making persons over the age of 60 the most vulnerable population group. Additionally, non-fatal falls by the elderly can severely compromise quality of life and/or represent considerable medical expenditures (i.e.