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Many applications of sensor networks require knowledge of physical sensor positions For example, target detection and tracking are usually associated with location information [2] Further, knowledge of sensor location can be used to facilitate network functions such as packet routing [3 5], and collaborative signal processing [6] Sensor position can also serve as a unique node identi er, making it unnecessary for each sensor to have a unique ID assigned prior to its deployment In sensor networks the capabilities of individual nodes are very limited and nodes are often powered by batteries only To conserve energy, collaboration between nodes is required and communication between nodes should be minimized.



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To address this issue, SLP defines a multicast convergence algorithm A SrvRqst is transmitted by a UA up to four times over a period of 15 seconds Message SrvRqst contains a field called previous responder list The list contains the IP addresses of the SAs that have returned SrvRplys so far in the execution of the multicast convergence algorithm An SA listening and receiving a SrvRqst with its own IP address within the previous responder list of the message ignores the request and remains silent An important issue that must be addressed by a service discovery system is scalability For instance, if the number of SAs matching a given request is high, the number of replies and amount of traffic will be high as well To address scalability, SLP has a notion of scope A scope is a group of UAs and SAs DAs support scopes.





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To achieve these goals nodes in wireless sensor networks (WSNs) need to determine a device s context, and since each node has limited power, we want to determine the location of individual sensor nodes without relying on external infrastructure (base stations, satellites, etc) Location information not only can be used to minimize the communication but also can be used to improve the performance of wireless networks and provide new types of services For example, it can facilitate routing in a wireless ad hoc network to reduce routing overhead This is known as geographic routing [7,8] Through location-aware network protocols, the number of control packets can be reduced.

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Other types of location-based services include geocast [9], by which a user can request to send a message to a speci c area, and temporal geocast, by which a user can request to send a message to a speci c area at a speci c time In contrast to traditional multicast, such messages are not targeted at a xed group of members, but rather at members located in a speci c physical area However, location discovery in wireless sensor networks is very challenging First, the positioning algorithm must be distributed and localized in order to scale well for large sensor networks Second, the localization protocol must minimize communication and computation overhead for each sensor, since nodes have very limited resources (power, CPU, memory, etc) Third, the positioning functionality should not increase the cost and complexity of the sensor, since an application may require thousands of sensors.

Fourth, a locationdetection scheme should be robust It should work with accuracy and precision in various environments, and should not depend on sensor-to-sensor connectivity in the network The localization problem has received considerable attention in the past, as many applications need to know where objects or persons are, and hence various location services have been created Undoubtedly, the GPS is the most wellknown location service in use today The approach taken by GPS, however, is unsuitable for low-cost, ad hoc sensor networks, since GPS is based on extensive infrastructure (ie, satellites) Likewise, solutions developed in the area of robotic [10 12] and ubiquitous computing [13] are generally not applicable for sensor networks, as they require too much processing power and energy Recently, a number of localization systems have been proposed speci cally for sensor networks [14 16] We are interested in truly distributed algorithms that can be.

UAs send SrvRqsts only to SAs and DAs supporting their scope SAs send SrvRegs only to all the DAs supporting their scope The concept of scope provides scalability limiting the network coverage of a request and the number of replies Each scope is named UAs and SAs can be members of several scopes They can learn their scope name(s) by, for example, reading a configuration file 27413 Jini The architecture of a Jini system consists of clients, lookup services, and service providers, which are analogous to the concepts of UAs, DAs, and SAs of SLP As in SLP, Jini proposes two alternative architectures The first architecture, with a mode of operation called peer lookup, consists of service providers and clients with direct communication The second architecture consists of service providers, clients, and lookup services acting as central sources of information.

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