The possibility of super-somnolent mentation: A new information-processing approach to sleep-onset acceleration and insomnia exemplified by serial diverse imagining

This paper proposes a new conceptual framework and techniques for sleep-onset acceleration: the somnolent mentation framework. It distinguishes between somnolent, asomnolent and insomnolent mentation. Somnolent mentation inherently accelerates sleep onset (SO). Insomnolent mentation (e.g., deliberating, ruminating or focusing on one’s arousal) interferes with SO. Deliberate mentation approaches to insomnia attempt to influence the participant’s mentation at SO. They may prescribe somnolent or counter-insomnolent mentation. Existing deliberate mentation approaches attempt mainly to counter insomnolent mentation (e.g., thought control through imagery distraction). Thus they are at best counter-insomnolent. Super-somnolent mentation is both somnolent and counter-insomnolent. Extended SO (E-SO) is defined as the period just before SO (P-SO) combined with SO. A scientific challenge is to correctly classify features of mentation as somnolent, asomnolent and insomnolent. This classification should be done both from a phenomena-based perspective—e.g., the empirical study of E-SO mentation— and from a designer-based perspective (in terms of a theory of the architecture of the human mind). This paper proposes a secondary hypothesis: the E-SO mentation emulation hypothesis. To emulate somnolent features of P-SO mentation is somnolent. This paper proposes also that some types of incoherent mentation are super-somnolent.  This paper presents no new empirical data. However, from the new conjectures, several predictions can be derived, new treatments developed, and new possibilities investigated. From the incoherent mentation principle the serial diverse imagining (SDI) family of techniques is derived. From this and related considerations SDI is expected to be super-somnolent

Transport mechanism for wireless micro sensor network

Wireless sensor network (WSN) is a wireless ad hoc network that consists of very large number of tiny sensor nodes communicating with each other with limited power and memory constrain. WSN demands real-time routing which requires messages to be delivered within their end-to-end deadlines (packet lifetime). This report proposes a novel real-time with load distribution (RTLD) routing protocol that provides real time data transfer and efficient distributed energy usage in WSN. The RTLD routing protocol ensures high packet throughput with minimized packet overhead and prolongs the lifetime of WSN. The routing depends on optimal forwarding (OF) decision that takes into account of the link quality, packet delay time and the remaining power of next hop sensor nodes. RTLD routing protocol possesses built-in security measure. The random selection of next hop node using location aided routing and multi-path forwarding contributes to built-in security measure. RTLD routing protocol in WSN has been successfully studied and verified through simulation and real test bed implementation. The performance of RTLD routing in WSN has been compared with the baseline real-time routing protocol. The simulation results show that RTLD experiences less than 150 ms packet delay to forward a packet through 10 hops. It increases the delivery ratio up to 7 % and decreases power consumption down to 15% in unicast forwarding when compared to the baseline routing protocol. However, multi-path forwarding in RTLD increases the delivery ratio up to 20%. In addition, RTLD routing spreads out and balances the forwarding load among sensor nodes towards the destination and thus prolongs the lifetime of WSN by 16% compared to the baseline protocol. The real test bed experiences only slight differences of about 7.5% lower delivery ratio compared to the simulation. The test bed confirms that RTLD routing protocol can be used in many WSN applications including disasters fighting, forest fire detection and volcanic eruption detection